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<front>
<journal-meta>
<journal-id journal-id-type="pmc">FDMP</journal-id>
<journal-id journal-id-type="nlm-ta">FDMP</journal-id>
<journal-id journal-id-type="publisher-id">FDMP</journal-id>
<journal-title-group>
<journal-title>Fluid Dynamics &#x0026; Materials Processing</journal-title>
</journal-title-group>
<issn pub-type="epub">1555-2578</issn>
<issn pub-type="ppub">1555-256X</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">16640</article-id>
<article-id pub-id-type="doi">10.32604/fdmp.2022.016640</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Experimental Study on Heavy Oil Drag Reduction in Horizontal Pipelines by Water Annular Conveying</article-title><alt-title alt-title-type="left-running-head">Experimental Study on Heavy Oil Drag Reduction in Horizontal Pipelines by Water Annular Conveying</alt-title><alt-title alt-title-type="right-running-head">Experimental Study on Heavy Oil Drag Reduction in Horizontal Pipelines by Water Annular Conveying</alt-title>
</title-group>
<contrib-group content-type="authors">
<contrib id="author-1" contrib-type="author">
<name name-style="western"><surname>Du</surname><given-names>Mingjun</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-2">2</xref>
</contrib>
<contrib id="author-2" contrib-type="author" corresp="yes">
<name name-style="western"><surname>Jing</surname><given-names>Jiaqiang</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref><email>jjq@swpu.edu.cn</email>
</contrib>
<contrib id="author-3" contrib-type="author">
<name name-style="western"><surname>Xiong</surname><given-names>Xinqiang</given-names></name>
<xref ref-type="aff" rid="aff-3">3</xref>
</contrib>
<contrib id="author-4" contrib-type="author">
<name name-style="western"><surname>Lang</surname><given-names>Bingbing</given-names></name>
<xref ref-type="aff" rid="aff-2">2</xref>
</contrib>
<contrib id="author-5" contrib-type="author">
<name name-style="western"><surname>Wang</surname><given-names>Xuan</given-names></name>
<xref ref-type="aff" rid="aff-2">2</xref>
</contrib>
<contrib id="author-6" contrib-type="author" corresp="yes">
<name name-style="western"><surname>Shi</surname><given-names>Shiying</given-names></name>
<xref ref-type="aff" rid="aff-4">4</xref><email>shishiying@imech.ac.cn</email>
</contrib>
<aff id="aff-1"><label>1</label><institution>State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University</institution>, <addr-line>Chengdu, 610500</addr-line>, <country>China</country></aff>
<aff id="aff-2"><label>2</label><institution>China Petroleum Engineering &#x0026; Construction Corp North Company</institution>, <addr-line>Renqiu, 062552</addr-line>, <country>China</country></aff>
<aff id="aff-3"><label>3</label><institution>China National Petroleum Corporation</institution>, <addr-line>Beijing, 100000</addr-line>, <country>China</country></aff>
<aff id="aff-4"><label>4</label><institution>Institute of Mechanics, Chinese Academy of Science</institution>, <addr-line>Beijing, 100190</addr-line>, <country>China</country></aff>
</contrib-group><author-notes><corresp id="cor1">&#x002A;Corresponding Authors: Jiaqiang Jing. Email: <email>jjq@swpu.edu.cn</email>; Shiying Shi. Email: <email>shishiying@imech.ac.cn</email></corresp></author-notes>
<pub-date pub-type="epub" date-type="pub" iso-8601-date="2021-11-8"><day>8</day>
<month>11</month>
<year>2021</year></pub-date>
<volume>18</volume>
<issue>1</issue>
<fpage>81</fpage>
<lpage>91</lpage>
<history>
<date date-type="received"><day>08</day><month>4</month><year>2021</year></date>
<date date-type="accepted"><day>12</day><month>8</month><year>2021</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2022 Du et al.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Du et al.</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_FDMP_16640.pdf"></self-uri>
<abstract>
<p>Transportation of heavy oil by the so-called water-ring technique is a very promising method by which pressure drop and pollution can be significantly reduced. Dedicated experiments have been carried out by changing the phase&#x2019;s density, viscosity, velocity and interfacial tension to systematically analyze the characteristics of the water ring. On the basis of such experimental data, a mathematical model for pressure drop prediction has been introduced. This research shows that as long as the density of oil and water remains the same, a concentric water ring can effectively be formed. In such conditions, the oil-water viscosity difference has little effect on the shape of water ring, and it only affects the pressure drop. The greater the viscosity of heavy oil, the smaller the pressure drop of the oil-water ring transportation system. The influence of phases&#x2019; interfacial tension on the characteristics and pressure drop of the heavy oil-water ring can be considered negligible. The pressure drop prediction model introduced on the basis of the Buckingham&#x2019;s principle provides values in good agreement (95%) with the experimental data.</p>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Heavy oil</kwd>
<kwd>oil-water ring</kwd>
<kwd>boundary layer</kwd>
<kwd>experiment</kwd>
<kwd>pressure drop model</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Introduction</title>
<p>Heavy oil is a non-conventional oil resource with the largest known reserves in the world. Due to its high viscosity that limits its application, various drag reduction technologies have been researched and utilized to improve heavy oil&#x2019;s fluidity. In recent years, with oil discovery happening in offshore and alpine areas, oilfield development has focused on the drilling and production of heavy oil in these areas. Heavy oil is also predicted to become the future of world crude production [<xref ref-type="bibr" rid="ref-1">1</xref>].</p>
<p>However, heavy oil is much more difficult to transport than ordinary crude. Conventionally, heavy oil is heated or diluted to reduce its viscosity and drag. Advances in the past decades have seen viscosity reduction achieved via chemical modification and emulsification. Heavy oil is characteristically highly dense and viscous, contains less wax and has low condensation points with poor fluidity, leading to high development and operation costs. Therefore, it is important to explore new technologies for heavy oil production and transportation that are safe, economical and consume less energy [<xref ref-type="bibr" rid="ref-2">2</xref>].</p>
<p>Over the past 40 years, developing technology that reduces fluid&#x2019;s viscosity at the boundary layer to achieve lower flow resistance has become a major research topic. Bensakhria et al. [<xref ref-type="bibr" rid="ref-3">3</xref>] concluded that under laboratory conditions, the use of water ring technology is able to lower heavy oil&#x2019;s pipe pressure as much as 90%, with the stable oil-water ring achieving a drag reduction of 95%. Using the same technology, Glass et al. [<xref ref-type="bibr" rid="ref-4">4</xref>] further reported that the lowest pipe pressure occurred at water-oil ratio of 30%&#x2013;40%. The requirements for the formation a stable oil-water ring was reviewed by Antonio et al. [<xref ref-type="bibr" rid="ref-5">5</xref>].</p>
<p>However, since the density of water is slightly higher than that of ordinary heavy oil, transportation of heavy oil using water ring technology poses certain challenges. One key issue is that at certain pressure and temperature, the denser water would sink and thus disrupts the concentric water ring. This would lead to adhesion between heavy oil and the upper wall of the pipe, which adversely affects the drag reduction. In order to overcome this stability issue, researchers mostly focused on three approaches to forming stable water rings: reduce the density difference between water and heavy oil, reduce the emulsification effect of water on heavy oil, and improve the hydrophilicity of the pipe wall. Ho et al. [<xref ref-type="bibr" rid="ref-6">6</xref>] prepared water-in-oil emulsion to increase the density of the central oil flow, and added anionic surfactant to reduce the oil-water emulsification, thus obtaining better stability.</p>
<p>Since the early 1980s, the feasibility of gathering and transporting highly viscous crude at low temperature on field were studied by various scholars [<xref ref-type="bibr" rid="ref-7">7</xref>&#x2013;<xref ref-type="bibr" rid="ref-10">10</xref>]. After analyzing various issues on water ring transportation, Pan et al. concluded that stable annual flow can be obtained by the use of elastic aqueous solution and gel adsorption layer. Nevertheless, given the limitation of the experimental conditions, the flow characteristics of oil and water in the pipe cannot be observed, and the conditions affecting the water ring stability cannot be systematically studied. The pressure drop formula of the stable heavy oil-water ring transportation was not definitive and required an iterative solution.</p>
<p>We have previously established an experimental water ring transportation device for oil with viscosity exceeding 5,000 mPa&#x00B7;s. In this study, the factors affecting the oil-water two-phase flow pattern in horizontal pipes were systematically researched to obtain the flow pattern and pressure drop formula/relationship of oil-water under different transportation conditions. Based on the dimensional analysis of experimental data using Buckingham &#x03C0; theorem, a pressure drop math model on heavy oil-water ring was established, providing for rapid calculation with a wide range of application. These research results not only have significant academic value, but can also be used as a reference during the study on heavy oil transportation at low temperature.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Experimental Materials and Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Experimental Materials</title>
<p>High viscosity silicone oil and aqueous solution are used as experimental media, with the silicone oil dyed black for ease of observation. Previous studies suggested that the stability of water ring is mainly affected by the surface tension defined by the differences in density, viscosity and velocity between oil and water [<xref ref-type="bibr" rid="ref-11">11</xref>]. Therefore, eliminate the impact of these factors on the experimental results, we selected a range of materials for each parameter tested. For example, at 20&#x00B0;C, 5 kinds of silicone oil with the density of 950 kg/m<sup>3</sup> and the viscosity of 5,000, 8,000, 11,000, 22,000, and 32,000 mPa&#x00B7;s were prepared to simulate heavy oil. The aqueous solution was prepared with pure water and absolute ethyl alcohol according to the density required. At 20&#x00B0;C, the viscosity of absolute ethyl alcohol is very close to that of water. In this way, the viscosity has little influence during preparation of aqueous solution of different densities.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Experimental Device</title>
<p>The experimental device used for heavy oil-water ring transportation was established in our previous study [<xref ref-type="bibr" rid="ref-11">11</xref>] to study the drag reduction characteristics of water ring. The device consists of water tank, heavy oil tank, mixed oil tank, water pump, heavy oil pump, liquid ring generator, differential pressure transmitter, rotameter, and frequency converter (<xref ref-type="fig" rid="fig-1">Fig. 1</xref> for the device and <xref ref-type="fig" rid="fig-2">Fig. 2</xref> for the liquid ring generator). The test pipe in the test section was a transparent pipe with a diameter of 32 &#x00D7; 3 mm and a length of 1.0 m placed in the pressure monitoring section.</p>
<fig id="fig-1">
<label>Figure 1</label>
<caption>
<title>Schematic diagram of test system</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-1.png"/>
</fig>
<fig id="fig-2">
<label>Figure 2</label>
<caption>
<title>Structure diagram of water-ring generator (top view)</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-2.png"/>
</fig>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Factor Analysis of Water Ring Stability</title>
<sec id="s3_1">
<label>3.1</label>
<title>Influence of Two-Phase Density Difference</title>
<p>The heavy oil with density of 950 kg/m<sup>3</sup> and viscosity of 32,000 mPa&#x00B7;s was used to study the effect of oil-water density difference on the stable heavy oil-water ring transportation. The influence of density difference between the biphasic solution on the stability of water ring was analyzed by manipulating the density of the aqueous phase (940&#x007E;990 kg/m<sup>3</sup>, increment gradient of 10 kg/m<sup>3</sup>). The apparent velocity of oil-water was maintained at 0.5 m/s. <xref ref-type="fig" rid="fig-3">Fig. 3</xref> gives the oil-water flow pattern in the pipe under different density differences.</p>
<fig id="fig-3">
<label>Figure 3</label>
<caption>
<title>Oil-water flow pattern in pipe under different density differences</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-3.png"/>
</fig>
<p><xref ref-type="fig" rid="fig-3">Fig. 3</xref> shows that the heavy oil flows in a downward eccentric ring when the aqueous phase has the density lower than that of heavy oil. With the increase in the density of the aqueous phase, the heavy oil core gradually moves up to the center of the pipe, and presented a relatively stable water ring transportation. The fluctuations observed in the heavy oil core were due to the belt-driven gear pump used which has instantaneous changes in flow output. As the density of aqueous solution gradually increases, the heavy oil core continues to move up. When the density of the aqueous solution reached 990 kg/m<sup>3</sup>, the heavy oil displayed wall sticking property and the water ring loses stability. This indicates that the density difference between the oil and water phases is the sole reason for the formation of eccentric oil-water ring.</p>
<p>The curves of pressure drop gradient per unit pipe length of heavy oil-water ring transportation under different water phase densities were also recorded (<xref ref-type="fig" rid="fig-4">Fig. 4</xref>). When analyzed in conjuncture with <xref ref-type="fig" rid="fig-3">Fig. 3</xref>, it can be seen that increase in water density resulted in the rise in the pressure drop per unit pipe length, as the pressure drop per unit pipe length does not increase much prior to the occurrence of heavy oil wall-sticking phenomenon. This suggests that for relatively stable water ring, the pressure drop per unit pipe length is less affected by heavy oil at the core area.</p>
<fig id="fig-4">
<label>Figure 4</label>
<caption>
<title>Influence of water phase density on pressure drop per unit pipe length</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-4.png"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Influence of Two-Phase Viscosity Difference</title>
<p>Four samples with the density of heavy oil and aqueous solution at 950 kg/m<sup>3</sup>, and with heavy oil viscosity of 5,000, 8,000, 22,000, and 32,000 mPa&#x00B7;s were selected to study the influence of oil-water phase viscosity difference on the stable heavy oil-water ring transportation which is shown in <xref ref-type="fig" rid="fig-5">Fig. 5</xref>. The apparent velocity of oil and water phases were maintained at 0.5 m/s, and the oil-water flow pattern in the pipe under different viscosities were observed.</p>
<fig id="fig-5">
<label>Figure 5</label>
<caption>
<title>Oil-water flow pattern in pipe under different viscosities</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-5.png"/>
</fig>
<p>Our data shows that when oil and water were of the equal density, the heavy oil water ring flowed stably under various oil-water densities. When the viscosity of heavy oil was relatively low, the interface between heavy oil and water in the core area flowed in the form of small jagged waves. As the heavy oil&#x2019;s viscosity increased, this interface gradually became smooth and presented a large wave flow. Hence, it can be surmised that the greater the heavy oil&#x2019;s viscosity, the bigger the interphase friction between the oil core and the water ring, and the smaller the shear effect of water on the interface between water and heavy oil.</p>
<fig id="fig-6">
<label>Figure 6</label>
<caption>
<title>The effect of viscosity on curves of pressure drop gradient per unit pipe length</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-6.png"/>
</fig>
<p><xref ref-type="fig" rid="fig-6">Fig. 6</xref> gives the curves of pressure drop gradient per unit pipe length of heavy oil-water ring transportation at different viscosities. The curve showed that the pressure drop per unit pipe length increases with the increase of heavy oil viscosity. The heavy oil in the core area presented a continuous phase, and the interlayer friction increases with the increase of viscosity leading to increase in the overall pressure drop. However, the increment rate of pressure drop gradually decreases, indicating that the water ring can reduce the resistance of heavy oil transportation. The greater the viscosity of heavy oil, the better the drag reduction.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Influence of Two-Phase Velocity Difference</title>
<p>We further studied the influence of oil-water velocity difference on the heavy oil-water ring transportation using heavy oil with viscosity of 32,000 mPa&#x00B7;s with the density of heavy oil and aqueous solution at 950 kg/m<sup>3</sup>. By fixing the apparent velocity of oil phase at 0.5 m/s, the influence of water ring on the stability of heavy oil in the core area was analyzed by changing the apparent velocity of water phase.</p>
<fig id="fig-7">
<label>Figure 7</label>
<caption>
<title>Oil-water flow pattern in pipe under different water velocities</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-7.png"/>
</fig>
<p>Our results (<xref ref-type="fig" rid="fig-7">Fig. 7</xref>) showed that with constant oil velocity, the fluctuation of heavy oil core gradually decreases with the increase of water velocity. The reason may be that with the increase of water velocity, the amount of heavy oil in unit time flowing through the pipe section decreases, and the shear on the oil-water interface increases during the flow process of water carrying high viscous oil. This would restrict the flow pattern of heavy oil in the core area and reduce its fluctuation. We further found that although proper increase of water velocity can improve the stability of heavy oil in the core area, the efficiency of heavy oil transportation was reduced. Therefore, an optimal transportation condition needs to be established in the actual design.</p>
<fig id="fig-8">
<label>Figure 8</label>
<caption>
<title>Oil-water flow pattern in pipe under different oil velocities</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-8.png"/>
</fig>
<p>In contrast, when the water velocity remained unchanged at 0.5 m/s, the periodic fluctuation of heavy oil core gradually increases with the increase of the oil velocity (<xref ref-type="fig" rid="fig-8">Fig. 8</xref>). This is mainly because with the increase of oil velocity, the rate of heavy oil flowing through the pipeline section increases due to the periodic injection of gear pump.</p>
<fig id="fig-9">
<label>Figure 9</label>
<caption>
<title>Curves of pressure drop gradient per unit pipe length at different velocities of water and oil</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-9.png"/>
</fig>
<p>Our data further demonstrated that the pressure drop per unit pipe length increases no matter which phase velocity is increased (<xref ref-type="fig" rid="fig-9">Fig. 9</xref>). When comparing the two curves, it can be observed that the pressure drop increased more with the increase of water velocity than with the increase of oil velocity. This is due to increase of heavy oil content in the pipe accompanying the increase of oil velocity, causing more internal friction when flowing with water as a result of its high viscosity.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Influence of Interfacial Tension Difference</title>
<p>The heavy oil with the density of both oil and water at 950 kg/m<sup>3</sup>, with their respective viscosity at 32,000, and 1.01 mPa&#x00B7;s was selected to study the influence of interfacial tension on the stability of heavy oil-water ring transportation. The oil-water apparent velocity was fixed at 0.5 m/s, and sodium dodecyl sulfate was added as a surfactant to the water to change the oil-water interfacial tension.</p>
<fig id="fig-10">
<label>Figure 10</label>
<caption>
<title>Oil-water flow pattern in pipe after adding different contents of sodium dodecyl sulfate</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-10.png"/>
</fig>
<p>Our data (<xref ref-type="fig" rid="fig-10">Fig. 10</xref>) showed that with the increase of surfactant in water, the oil-water interfacial tension decreases while the fluctuation frequency of heavy oil in the core area slightly increases.</p>
<fig id="fig-11">
<label>Figure 11</label>
<caption>
<title>Curves of pressure drop gradient per unit pipe length after adding different concentrations of surfactant</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-11.png"/>
</fig>
<p>An increase in surfactant concentration in water would slightly increase the pressure drop per unit pipe length (<xref ref-type="fig" rid="fig-11">Fig. 11</xref>). Due to the decrease of oil-water interfacial tension, the fluctuation frequency of heavy oil would increase slightly, thus increasing the friction resistance. However, in general, changes in interfacial tension has insignificant effect on the pressure drop of heavy oil-water ring transportation.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Prediction of Pressure Drop of Stable Heavy Oil-Water Ring Transportation</title>
<p>Flow pattern is one of the most important factors affecting oil-water two-phase pressure drop [<xref ref-type="bibr" rid="ref-12">12</xref>]. At present, homogeneous and separated-flow models are the two relatively established pressure drop models for multi-phase fluid pipe transportation. Homogeneous model applies high velocity and mixture of oil and water, i.e., a two-phase flow [<xref ref-type="bibr" rid="ref-13">13</xref>] of water-in-oil or oil-in-water emulsion; Separated-flow model can be further divided into into two-layer, three-layer, and four-layer models [<xref ref-type="bibr" rid="ref-14">14</xref>&#x2013;<xref ref-type="bibr" rid="ref-16">16</xref>]. These models apply to the flow of water and oil with interface in the pipe. The pipe pressure drop is then solved iteratively by establishing the fluid mechanics equation for each phase.</p>
<p>For annular flow, with one phase in the core area of the pipe and the other phase near the pipe wall, the pressure drop formula is reported less [<xref ref-type="bibr" rid="ref-17">17</xref>], let alone the non-iterative calculation model to quickly obtain more accurate results.</p>
<p>In the absence of relevant reference, dimensional analysis was used for modelling. Dimensional analysis is an important research method in natural science. It analyzes general rules followed by identifying quantitative relations between affairs according to the forms that all quantities must have. Through dimensional analysis, it can check whether the equations of physical phenomena are correct or not, and even provides clues to find physical phenomena and some laws [<xref ref-type="bibr" rid="ref-18">18</xref>].</p>
<p>From the relationship between dimensionless parameters, it can be seen that mixture density <inline-formula id="ieqn-1">
<mml:math id="mml-ieqn-1"><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, mixture viscosity <inline-formula id="ieqn-2">
<mml:math id="mml-ieqn-2"><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, mixture velocity <inline-formula id="ieqn-3">
<mml:math id="mml-ieqn-3"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, pipe diameter <inline-formula id="ieqn-4">
<mml:math id="mml-ieqn-4"><mml:mi>D</mml:mi></mml:math>
</inline-formula>, and inlet oil content <inline-formula id="ieqn-5">
<mml:math id="mml-ieqn-5"><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula> are factors that determine the pressure drop per unit pipe length. According to the Buckingham &#x03C0; theorem, the pressure drop math model was established as follows:</p>
<p><disp-formula id="eqn-1"><label>(1)</label>
<mml:math id="mml-eqn-1" display="block"><mml:mi mathvariant="normal">&#x0394;</mml:mi><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mi>f</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo>,</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo>,</mml:mo><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo>,</mml:mo><mml:mi>D</mml:mi><mml:mo>,</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math>
</disp-formula></p>
<p><inline-formula id="ieqn-6">
<mml:math id="mml-ieqn-6"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>w</mml:mi></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, <inline-formula id="ieqn-7">
<mml:math id="mml-ieqn-7"><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>w</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>+</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, <inline-formula id="ieqn-8">
<mml:math id="mml-ieqn-8"><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>w</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>+</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula></p>
<p>According to the dimensional analysis theory, we selected <inline-formula id="ieqn-9">
<mml:math id="mml-ieqn-9"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, <inline-formula id="ieqn-10">
<mml:math id="mml-ieqn-10"><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math>
</inline-formula>, and <italic>D</italic> as the basic dimensions to form the following dimensionless quantities:</p>
<p><disp-formula id="eqn-2"><label>(2)</label>
<mml:math id="mml-eqn-2" display="block"><mml:mrow><mml:msub><mml:mi>&#x03C0;</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">&#x0394;</mml:mi><mml:mi>P</mml:mi></mml:mrow><mml:mrow><mml:mn>0.5</mml:mn><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:msubsup><mml:mi>V</mml:mi><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msubsup></mml:mrow></mml:mfrac></mml:mrow><mml:mo>=</mml:mo><mml:mi>E</mml:mi><mml:mrow><mml:mi mathvariant="normal">u</mml:mi></mml:mrow></mml:mstyle></mml:math>
</disp-formula></p>
<p><disp-formula id="eqn-3"><label>(3)</label>
<mml:math id="mml-eqn-3" display="block"><mml:mrow><mml:msub><mml:mi>&#x03C0;</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mi>D</mml:mi><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:mfrac></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:mstyle></mml:math>
</disp-formula></p>
<p><disp-formula id="eqn-4"><label>(4)</label>
<mml:math id="mml-eqn-4" display="block"><mml:mrow><mml:msub><mml:mi>&#x03C0;</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi mathvariant="normal">o</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>w</mml:mi></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:mfrac></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:msub><mml:mi>&#x03B1;</mml:mi><mml:mi>I</mml:mi></mml:msub></mml:mrow></mml:mstyle></mml:math>
</disp-formula></p>
<p>The data analysis shows that, with the increase of water density, Eu increases with the increase of <inline-formula id="ieqn-11">
<mml:math id="mml-ieqn-11"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</inline-formula>. However, when other parameters remain constant and the viscosity of oil phase increases, Eu decreases with the increase of <inline-formula id="ieqn-12">
<mml:math id="mml-ieqn-12"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</inline-formula>. Therefore, it is difficult to obtain a general law, and establishing a law based on the characteristics of annular flow pattern and dimensionless parameters is necessary.</p>
<p>Since the underlying aim of this study is heavy oil-water ring transportation, and the amount of heavy oil transported in the practical application is known. Therefore, the modeling takes the heavy oil flow as the reference flow, and obtains the pressure drop solution by modifying the friction coefficient. Combined with the experimental data, it is found through calculation that the flowing Re of heavy oil occupying the central cross section is lower than 6.</p>
<p>The oil phase Reynolds number <inline-formula id="ieqn-13">
<mml:math id="mml-ieqn-13"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">o</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</inline-formula> is defined as follows:</p>
<p><disp-formula id="eqn-5"><label>(5)</label>
<mml:math id="mml-eqn-5" display="block"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mi>o</mml:mi></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:math>
</disp-formula></p>
<p>The mixed magnetic Reynolds number <inline-formula id="ieqn-14">
<mml:math id="mml-ieqn-14"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</inline-formula> is defined as follows:</p>
<p><disp-formula id="eqn-6"><label>(6)</label>
<mml:math id="mml-eqn-6" display="block"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03C1;</mml:mi><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:math>
</disp-formula></p>
<p>Therefore, the Stokes low Reynolds number flow pressure drop formula can be used to calculate:</p>
<p><disp-formula id="eqn-7"><label>(7)</label>
<mml:math id="mml-eqn-7" display="block"><mml:mi mathvariant="normal">&#x0394;</mml:mi><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mi>f</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mi>&#x03C0;</mml:mi><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi mathvariant="normal">o</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mi>D</mml:mi></mml:math>
</disp-formula></p>
<p>The above formula is consistent with the experimental law, that is, the pressure drop increases with the increase of viscosity and with the increase of oil velocity.</p>
<p>Through a large number of data regression, the pressure drop prediction model for heavy oil-water ring transportation is shown as follows (when <inline-formula id="ieqn-15">
<mml:math id="mml-ieqn-15"><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">o</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</inline-formula> is lower than 6):</p>
<p><disp-formula id="eqn-8"><label>(8)</label>
<mml:math id="mml-eqn-8" display="block"><mml:mi mathvariant="normal">&#x0394;</mml:mi><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mi>f</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>R</mml:mi><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">e</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mi>&#x03C0;</mml:mi><mml:mrow><mml:msub><mml:mi>&#x03BC;</mml:mi><mml:mrow></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi mathvariant="normal">o</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mi>D</mml:mi></mml:math>
</disp-formula></p>
<p>where: <inline-formula id="ieqn-16">
<mml:math id="mml-ieqn-16"><mml:mi>f</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mo>&#x2212;</mml:mo><mml:mn>11415.192</mml:mn><mml:mo>+</mml:mo><mml:mn>11779</mml:mn><mml:mtext>&#xA0;</mml:mtext><mml:mrow><mml:msub><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>407.228</mml:mn><mml:mtext>&#xA0;</mml:mtext><mml:msubsup><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi><mml:mn>2</mml:mn></mml:msubsup><mml:mo>+</mml:mo><mml:mn>13.292</mml:mn><mml:mtext>&#xA0;</mml:mtext><mml:msubsup><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi><mml:mn>3</mml:mn></mml:msubsup><mml:mo>&#x2212;</mml:mo><mml:mn>10825</mml:mn><mml:mtext>&#xA0;</mml:mtext><mml:msubsup><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi><mml:mrow><mml:mn>0.5</mml:mn></mml:mrow></mml:msubsup><mml:mi>L</mml:mi><mml:mi>n</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>Re</mml:mi></mml:mrow><mml:mi>m</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math>
</inline-formula></p>
<fig id="fig-12">
<label>Figure 12</label>
<caption>
<title>Comparison of model predicted pressure drop and tested pressure drop</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="FDMP_16640-fig-12.png"/>
</fig>
<p>We then compared the pressure drop results obtained from the experimental study with those predicted from our model (<xref ref-type="fig" rid="fig-12">Fig. 12</xref>) and found good correlation between them, going as high as 95%. Our model is applicable to viscosity more than 10,000 mPa&#x00B7;s, and the error is less than 20%, making it suitable as a guide to production of heavy oil.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Conclusions and Suggestions</title>
<sec id="s5_1">
<label>5.1</label>
<title>Conclusions</title>
<p>We systematically studied the effects of interphase density difference, viscosity difference, velocity difference, and interfacial tension on the oil-water flow in pipe using an experimental device for heavy oil-water ring transportation, and established a pressure drop predication model based on the experimental data obtained. Through this study, the following conclusions are drawn for oil viscosity higher than 5000 mPa&#x00B7;s:<list list-type="simple"><list-item><label>1)</label>
<p>Water ring transportation can greatly reduce the transportation resistance of heavy oil on the premise that heavy oil is confined to the central area of the pipeline (i.e., non-sticking to the wall).</p></list-item><list-item><label>2)</label>
<p>Maintaining the same density of heavy oil and water is the only way to form a stable concentric water ring. When the other parameters are constant, the larger the viscosity of heavy oil, the better the drag reduction.</p></list-item><list-item><label>3)</label>
<p>The differences between oil-water two-phase velocity does not impact the optimal velocity to achieve the minimum and stable pressure drop of heavy oil-water ring transportation. Therefore, in the specific application, it is necessary to establish the hydraulic-thermal transportation model through optimization to determine the transportation conditions.</p></list-item><list-item><label>4)</label>
<p>The effect of oil-water interfacial tension on the stable transportation of heavy oil-water ring is small and negligible.</p></list-item><list-item><label>5)</label>
<p>The pressure drop prediction model established by dimensional analysis method is suitable when the Reynolds number of heavy oil in the core area is less than 6. Under this working condition, the correlation between predicted and experimental data is as high as 95%. Engineering application requirements are met since the viscosity of heavy oil used is greater than 10000 mPa&#x00B7;s, and the error is less than 20%.</p></list-item></list></p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Suggestions</title>
<p>As China&#x2019;s onshore heavy oil fields have entered more advanced stages of development, high water cut has become a common feature of old oilfields. For heavy oil transportation, the heavy oil-water ring transportation through proper facilities is necessary for reducing energy consumption of gathering and transportation systems. In addition, for super heavy oil, utilization of water ring as drag reduction fluid to realize low-temperature transportation is a new heavy oil transportation technology with great development prospects. However, further studies need to be done for heavy oil with Re<sub>o</sub> larger than 6.</p>
</sec>
</sec>
</body>
<back><fn-group>
<fn fn-type="other">
<p><bold>Funding Statement:</bold> Foundation Projects: Major National R&#x0026;D Project (2016ZX05025-004-005).</p>
</fn>
<fn fn-type="conflict">
<p><bold>Conflicts of Interest:</bold> The authors declare that they have no conflicts of interest to report regarding the present study.</p>
</fn>
</fn-group>
<ref-list content-type="authoryear">
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