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Oil and gas seepage theory is the basis of oil and gas field development, and development technology is the key to efficient development of oil and gas field. With the continuous discovery of complex oil and gas reservoirs such as unconventional and fracture-vuggy reservoirs, it brings new challenges to the theory and development technology of oil and gas seepage. In this paper, the research status and key theoretical methods of percolation theory of oil and gas reservoirs were summarized. The development directions of extreme and intelligent hydrocarbon percolation mechanics, such as the nonlinear coupling of heat-fluid-solid strength and the change of multi-scale hydrocarbon phase state, were proposed. The present status of hydrocarbon reservoir development technology system and key technologies of hydrocarbon reservoir development in our country were reviewed. The development directions of unconventional oil and gas were put forward, such as the in-situ modification “well factory”, the integration of CO2 storage, extraction and production, and intelligent development of oil and gas fields.
, correspAuthors=Jun YAO, authorNote=null, correspAuthorsNote=
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油气藏渗流理论是油气田开发的基础,开发技术是油气田获得高效开发的关键。随着非常规、缝洞型油藏等复杂油气藏的不断发现,给油气藏渗流理论和开发技术带来了新的挑战。文章总结了油气藏渗流理论的现状和关键理论方法进展,提出了热流固强非线性耦合、多尺度油气相态变化等极端油气藏渗流力学和智能油气藏渗流力学的发展方向;回顾了中国油气藏开发技术体系现状和开发关键技术进展,提出了非常规油气地下原位改性“井工厂”、CO2埋存提高采收率一体化、油气田智能化开发等发展方向。
, correspAuthors=姚军, authorNote=null, correspAuthorsNote=
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 |
王敬,博士,教授。中国石油大学(北京)石油工程学院副院长。主要从事油气藏渗流理论与高效开发技术等教学与科研工作。获省部级科学技术进步奖一等奖5项、二等奖3项。电子信箱:wangjing8510@163.com。 |
 |
姚军,博士,教授。主要从事油气渗流理论与应用等教学与科研工作。获国家技术发明奖二等奖1项、国家科学技术进步奖二等奖1项、教育部自然科学奖一等奖1项、省部级科学技术进步奖一等奖3项。电子信箱:yaojunhdpu@126.com。 |
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王敬,博士,教授。中国石油大学(北京)石油工程学院副院长。主要从事油气藏渗流理论与高效开发技术等教学与科研工作。获省部级科学技术进步奖一等奖5项、二等奖3项。电子信箱:wangjing8510@163.com。
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王敬,博士,教授。中国石油大学(北京)石油工程学院副院长。主要从事油气藏渗流理论与高效开发技术等教学与科研工作。获省部级科学技术进步奖一等奖5项、二等奖3项。电子信箱:wangjing8510@163.com。
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2, †, address=2.中国石油大学(华东)石油工程学院,青岛 266580, bio={"img":"RUQ1j1efvxkpMPfUCMbX0g==","content":"
姚军,博士,教授。主要从事油气渗流理论与应用等教学与科研工作。获国家技术发明奖二等奖1项、国家科学技术进步奖二等奖1项、教育部自然科学奖一等奖1项、省部级科学技术进步奖一等奖3项。电子信箱:yaojunhdpu@126.com。
"}, bioImg=RUQ1j1efvxkpMPfUCMbX0g==, bioContent=
姚军,博士,教授。主要从事油气渗流理论与应用等教学与科研工作。获国家技术发明奖二等奖1项、国家科学技术进步奖二等奖1项、教育部自然科学奖一等奖1项、省部级科学技术进步奖一等奖3项。电子信箱:yaojunhdpu@126.com。
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科学通报,
2018,
63(4): 425-451., articleTitle=现代油气渗流力学体系及其发展趋势, refAbstract=null), Reference(id=1241719579701998497, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1016/j.advwatres.2012.03.003, pmid=null, pmcid=null, year=2013, volume=51, issue=null, pageStart=197, pageEnd=216, url=https://linkinghub.elsevier.com/retrieve/pii/S0309170812000528, language=null, rfNumber=[2], rfOrder=1, authorNames=Blunt M J, Bijeljic B, Dong H, journalName=Advances in Water Resources, refType=null, unstructuredReference=
Blunt M J,
Bijeljic B,
Dong H, et al. Pore-scale imaging and modelling[J].
Advances in Water Resources,
2013,
51: 197-216., articleTitle=Pore-scale imaging and modelling, refAbstract=null), Reference(id=1241719579790078883, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1016/j.ijheatmasstransfer.2016.08.026, pmid=null, pmcid=null, year=2016, volume=103, issue=null, pageStart=1098, pageEnd=1107, url=https://linkinghub.elsevier.com/retrieve/pii/S0017931016309966, language=null, rfNumber=[3], rfOrder=2, authorNames=Zhao J L, Yao J, Zhang L, journalName=International Journal of Heat and Mass Transfer, refType=null, unstructuredReference=
Zhao J L,
Yao J,
Zhang L, et al. Pore-scale simulation of shale gas production considering the adsorption effect[J].
International Journal of Heat and Mass Transfer,
2016,
103: 1098-1107., articleTitle=Pore-scale simulation of shale gas production considering the adsorption effect, refAbstract=null), Reference(id=1241719579941073829, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1063/5.0095965, pmid=null, pmcid=null, year=2022, volume=34, issue=6, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[4], rfOrder=3, authorNames=Duan L A, Sun H, Zhang L, journalName=Physics of Fluids, refType=null, unstructuredReference=
Duan L A,
Sun H,
Zhang L, et al. A method for pore-scale simulation of single-phase shale oil flow based on three-dimensional digital cores with hybrid mineral phases[J].
Physics of Fluids,
2022,
34(6), doi:
10.1063/5.0095965., articleTitle=A method for pore-scale simulation of single-phase shale oil flow based on three-dimensional digital cores with hybrid mineral phases, refAbstract=null), Reference(id=1241719580008182695, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1016/j.ijheatmasstransfer.2017.05.109, pmid=null, pmcid=null, year=2017, volume=113, issue=null, pageStart=524, pageEnd=537, url=https://linkinghub.elsevier.com/retrieve/pii/S0017931016343824, language=null, rfNumber=[5], rfOrder=4, authorNames=Song W H, Yao J, Ma J S, journalName=International Journal of Heat and Mass Transfer, refType=null, unstructuredReference=
Song W H,
Yao J,
Ma J S, et al. Assessing relative contributions of transport mechanisms and real gas properties to gas flow in nanoscale organic pores in shales by pore network modelling[J].
International Journal of Heat and Mass Transfer,
2017,
113: 524-537., articleTitle=Assessing relative contributions of transport mechanisms and real gas properties to gas flow in nanoscale organic pores in shales by pore network modelling, refAbstract=null), Reference(id=1241719580066902954, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1016/j.cej.2019.122974, pmid=null, pmcid=null, year=2020, volume=null, issue=null, pageStart=382, pageEnd=null, url=null, language=null, rfNumber=[6], rfOrder=5, authorNames=Song W H, Liu L J, Wang D Y, journalName=Chemical Engineering Journal, refType=null, unstructuredReference=
Song W H,
Liu L J,
Wang D Y, et al. Nanoscale confined multicomponent hydrocarbon thermodynamic phase behavior and multiphase transport ability in nanoporous material[J].
Chemical Engineering Journal,
2020, 382, doi:
10.1016/j.cej.2019.122974., articleTitle=Nanoscale confined multicomponent hydrocarbon thermodynamic phase behavior and multiphase transport ability in nanoporous material, refAbstract=null), Reference(id=1241719581543297963, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1021/acs.accounts.9b00411, pmid=31922716, pmcid=null, year=2020, volume=53, issue=2, pageStart=347, pageEnd=357, url=null, language=null, rfNumber=[7], rfOrder=6, authorNames=Zhong J J, Alibakhshi M A, Xie Q, journalName=Accounts of Chemical Research, refType=null, unstructuredReference=
Zhong J J,
Alibakhshi M A,
Xie Q, et al. Exploring anomalous fluid behavior at the nanoscale: Direct visualization and quantification via nanofluidic devices[J].
Accounts of Chemical Research,
2020,
53(2): 347-357., articleTitle=Exploring anomalous fluid behavior at the nanoscale: Direct visualization and quantification via nanofluidic devices, refAbstract=Nanofluidics is the study of fluids under nanoscale confinement, where small-scale effects dictate fluid physics and continuum assumptions are no longer fully valid. At this scale, because of large surface-area-to-volume ratios, the fluid interaction with boundaries becomes more pronounced, and both short-range steric/hydration forces and long-range van der Waals forces and electrostatic forces dictate fluid behavior. These forces lead to a spectrum of anomalous transport and thermodynamic phenomena such as ultrafast water flow, enhanced ion transport, extreme phase transition temperatures, and slow biomolecule diffusion, which have been the subject of extensive computational studies. Experimental quantification of these phenomena was also enabled by the advent of nanofluidic technology, which has transformed challenging nanoscale fluid measurements into facile optical and electrical recordings. Our groups' focus is to investigate nanoscale (2 to 10 nm) fluid behaviors in the context of fluid mechanics and thermodynamics through the development of novel nanofluidic tools, to examine the applicability of classical equations at the nanoscale, to identify the source of deviations, and to explore new physics emerging at this scale. In this Account, we summarize our recent findings regarding liquid transport, vaporization, and condensation of nanoscale-confined liquids. Our study of nanoscale water transport identified an additional resistance in hydrophilic nanochannels, attributed to the reduced cross-sectional area caused by the formation of an immobile hydration layer on the surfaces. In contrast, a reduction in flow resistance was discovered in graphene-coated hydrophobic nanochannels, due to water slippage on the graphene surface. In the context of vaporization, the kinetic-limited evaporation flux was measured and found to exceed the classical theoretical prediction by an order of magnitude in hydrophilic nanochannels/nanopores as a result of the thin film evaporation outside of the apertures. This factor was eliminated by modifying the hydrophobicity of the aperture's exterior surface, enabling the identification of the true kinetic limits inside nanoconfinements and a crucial confinement-dependent evaporation coefficient. The transport-limited evaporation dynamics was also quantified, where experimental results confirmed the parallel diffusion-convection resistance model in both single nanoconduits and nanoporous systems at high accuracy. Furthermore, we have extended our studies to different aspects of condensation in nanoscale-confined spaces. The initiation of condensation for a single-component hydrocarbon was observed to follow the Kelvin equation, whereas for hydrocarbon mixtures it deviated from classical theory because of surface-selective adsorption, which has been corroborated by simulations. Moreover, the condensation dynamics deviates from the bulk and is governed by either vapor transport or liquid transport depending on the confinement scale. Overall, by using novel nanofluidic devices and measurement strategies, our work explores and further verifies the applicability of classical fluid mechanics and thermodynamic equations such as the Navier-Stokes, Kelvin, and Hertz-Knudsen equations at the nanoscale. The results not only deepen our understanding of the fundamental physical phenomena of nanoscale fluids but also have important implications for various industrial applications such as water desalination, oil extraction/recovery, and thermal management. Looking forward, we see tremendous opportunities for nanofluidic devices in probing and quantifying nanoscale fluid thermophysical properties and more broadly enabling nanoscale chemistry and materials science.), Reference(id=1241719581639766957, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1021/acs.jpclett.7b03003, pmid=null, pmcid=null, year=2018, volume=9, issue=3, pageStart=497, pageEnd=503, url=https://pubs.acs.org/doi/10.1021/acs.jpclett.7b03003, language=null, rfNumber=[8], rfOrder=7, authorNames=Zhong J J, Riordon J, Zandavi S H, journalName=The Journal of Physical Chemistry Letters, refType=null, unstructuredReference=
Zhong J J,
Riordon J,
Zandavi S H, et al. Capillary condensation in 8 nm deep channels[J].
The Journal of Physical Chemistry Letters,
2018,
9(3): 497-503., articleTitle=Capillary condensation in 8 nm deep channels, refAbstract=null), Reference(id=1241719581719458735, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1038/s41565-017-0031-9, pmid=29292381, pmcid=null, year=2018, volume=13, issue=null, pageStart=238, pageEnd=245, url=null, language=null, rfNumber=[9], rfOrder=8, authorNames=Xie Q, Alibakhshi M A, Jiao S P, journalName=Nature Nanotechnology, refType=null, unstructuredReference=
Xie Q,
Alibakhshi M A,
Jiao S P, et al. Fast water transport in graphene nanofluidic channels[J].
Nature Nanotechnology,
2018,
13: 238-245., articleTitle=Fast water transport in graphene nanofluidic channels, refAbstract=Superfast water transport discovered in graphitic nanoconduits, including carbon nanotubes and graphene nanochannels, implicates crucial applications in separation processes and energy conversion. Yet lack of complete understanding at the single-conduit level limits development of new carbon nanofluidic structures and devices with desired transport properties for practical applications. Here, we show that the hydraulic resistance and slippage of single graphene nanochannels can be accurately determined using capillary flow and a novel hybrid nanochannel design without estimating the capillary pressure. Our results reveal that the slip length of graphene in the graphene nanochannels is around 16 nm, albeit with a large variation from 0 to 200 nm regardless of the channel height. We corroborate this finding with molecular dynamics simulation results, which indicate that this wide distribution of the slip length is due to the surface charge of graphene as well as the interaction between graphene and its silica substrate.), Reference(id=1241719581786567600, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1039/c7lc01193h, pmid=29372196, pmcid=null, year=2018, volume=18, issue=4, pageStart=568, pageEnd=573, url=null, language=null, rfNumber=[10], rfOrder=9, authorNames=Zhong J J, Talebi S, Xu Y, journalName=Lab on a Chip, refType=null, unstructuredReference=
Zhong J J,
Talebi S,
Xu Y, et al. Fluorescence in sub-10 nm channels with an optical enhancement layer[J].
Lab on a Chip,
2018,
18(4): 568-573., articleTitle=Fluorescence in sub-10 nm channels with an optical enhancement layer, refAbstract=Fluorescence microscopy uniquely enables physical and biological research in micro- and nanofluidic systems. However, in channels with depths below 10 nm, the limited number of fluorophores results in fluorescence intensity below the detection limit of optical microscopes. To overcome this barrier, we applied Fabry-Pérot interference to enhance fluorescence intensity with a silicon nitride layer below the sub-10 nm channel. A silicon nitride layer of suitable thickness can selectively enhance both absorption and emission wavelengths, leading to a fluorescent signal that is enhanced 20-fold and readily imaged with traditional microscopes. To demonstrate this method, we studied the mass transport of a binary solution of ethanol and Rhodamin B in 8 nm nanochannels. The large molecular size of Rhodamin B (∼1.8 nm) relative to the channel depth results in both separation and reduced diffusivity, deviating from behavior at larger scales. This method extends the widely available suite of fluorescence analysis tools and infrastructure to unprecedented sub-10 nm scale with relevance to a wide variety of biomolecular interactions.), Reference(id=1241719581853676466, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1039/c7cp00550d, pmid=28271101, pmcid=null, year=2017, volume=19, issue=12, pageStart=8223, pageEnd=8229, url=null, language=null, rfNumber=[11], rfOrder=10, authorNames=Bao B, Zandavi S H, Li H W, journalName=Physical Chemistry Chemical Physics, refType=null, unstructuredReference=
Bao B,
Zandavi S H,
Li H W, et al. Bubble nucleation and growth in nanochannels[J].
Physical Chemistry Chemical Physics,
2017,
19(12): 8223-8229., articleTitle=Bubble nucleation and growth in nanochannels, refAbstract=We apply micro- and nanofluidics to study fundamental phase change behaviour at nanoscales, as relevant to shale gas/oil production. We investigate hydrocarbon phase transition in sub-100 nm channels under conditions that mimic the pressure drawdown process. Measured cavitation pressures are compared with those predicted from the nucleation theory. We find that cavitation pressure in the nanochannels corresponds closer to the spinodal limit than that predicted from classical nucleation theory. This deviation indicates that hydrocarbons remain in the liquid phase in nano-sized pores under pressures much lower than the saturation pressure. Depending on the initial nucleation location - along the channel or at the end - two types of bubble growth dynamics were observed. Bubble growth was measured experimentally at different nucleation conditions, and results agree with a fluid dynamics model including evaporation rate, instantaneous bulk liquid velocity, and bubble pressure. Collectively these results demonstrate, characterize, and quantify isothermal bubble nucleation and growth of a pure substance in nanochannels.), Reference(id=1241719581916591028, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1021/acs.langmuir.8b01819, pmid=30074806, pmcid=null, year=2018, volume=34, issue=34, pageStart=9927, pageEnd=9935, url=null, language=null, rfNumber=[12], rfOrder=11, authorNames=Zhong J J, Zhao Y N, Lu C, journalName=Langmuir, refType=null, unstructuredReference=
Zhong J J,
Zhao Y N,
Lu C, et al. Nanoscale phase measurement for the shale challenge: Multicomponent fluids in multiscale volumes[J].
Langmuir,
2018,
34(34): 9927-9935., articleTitle=Nanoscale phase measurement for the shale challenge: Multicomponent fluids in multiscale volumes, refAbstract=Hydrocarbon recovery from shale reservoirs provides an increasing share of world energy. These resources are multicomponent fluid mixtures within multiscale geometries, and understanding their associated phase-change thermodynamics presents an array of challenges for experimentalists, theorists, operators, and policy makers. Here, we quantify hydrocarbon mixture phase behavior via direct imaging of connected channels spanning 4 orders of magnitude (10 nm to 10 μm) with supporting density functional theory. The methane/propane mixture dew point shifts, with early condensation of heavy components in nanopores because of a combination of capillarity and competitive surface adsorption. The bubble point in nanoconfinement is found to be deeply suppressed (∼3-fold), to below the bulk dew point of the original mixture, because of the exchange of mixture components with larger connected volumes. The trapping of the heaviest components of hydrocarbon mixtures within the smallest connected pores has implications for shale operations, reserve estimation, and ultimately energy security.), Reference(id=1241719581996282806, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=null, pmid=null, pmcid=null, year=2023, volume=8, issue=1, pageStart=32, pageEnd=68, url=null, language=null, rfNumber=[13], rfOrder=12, authorNames=姚军, 黄朝琴, 孙海, journalName=石油科学通报, refType=null, unstructuredReference=姚军, 黄朝琴, 孙海, 等. 油气渗流力学多尺度研究方法进展[J].
石油科学通报,
2023,
8(1): 32-68., articleTitle=油气渗流力学多尺度研究方法进展, refAbstract=null), Reference(id=1241719582059197368, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.2118/187286-PA, pmid=null, pmcid=null, year=2020, volume=25, issue=3, pageStart=1416, pageEnd=1442, url=https://onepetro.org/SJ/article/25/03/1416/212946/Multiscale-Modeling-of-Gas-Transport-in-Shale, language=null, rfNumber=[14], rfOrder=13, authorNames=Wang S, Feng Q H, Javadpour F, journalName=SPE Journal, refType=null, unstructuredReference=
Wang S,
Feng Q H,
Javadpour F, et al. Multiscale modeling of gas transport in shale matrix: An integrated study of molecular dynamics and rigid-pore-network model[J].
SPE Journal,
2020,
25(3): 1416-1442., articleTitle=Multiscale modeling of gas transport in shale matrix: An integrated study of molecular dynamics and rigid-pore-network model, refAbstract=The physics of gas transport through shale systems remains ambiguous. Although several theoretical and experimental studies have been reported, most concentrate only on the permeability of shale kerogen. Shales, however, are composed of various proportions of organic matter and inorganic minerals (e.g., calcite and clay). Inorganic pores are larger than organic pores, thus affecting apparent permeability. To accurately predict the apparent permeability of shale, we couple molecular dynamics (MD) and a pore-network model (PNM) to develop a multiscale framework for gas flow through shales. First, we use nonequilibrium MD (NEMD) to study the pressure-driven flow behavior of methane (CH4) through organic, calcite, and clay [montmorillonite (MMT)] nanopores under reservoir conditions, from which, using the slip-corrected Poiseuille equation, we propose a mass-transport model accounting for the contributions of both the adsorbed-phase fluid and bulk fluid. Then, we incorporate these formulations into a shale PNM in which the influences of shale composition and bimodal pore-size distribution (PSD) are taken into account. We also develop an analytical model for the apparent permeability of shale matrix using the bundle-of-capillaries approach. In comparison with previous methods, our proposed models highlight the effect of relatively greater pore sizes in inorganic matrices. This work provides an efficient tool for better understanding gas transport through shale systems at both molecular and pore scales.), Reference(id=1241719582126306234, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1017/jfm.2012.424, pmid=null, pmcid=null, year=2012, volume=710, issue=null, pageStart=641, pageEnd=658, url=https://www.cambridge.org/core/product/identifier/S0022112012004247/type/journal_article, language=null, rfNumber=[15], rfOrder=14, authorNames=Darabi H, Ettehad A, Javadpour F, journalName=Journal of Fluid Mechanics, refType=null, unstructuredReference=
Darabi H,
Ettehad A,
Javadpour F, et al. Gas flow in ultra-tight shale strata[J].
Journal of Fluid Mechanics,
2012,
710: 641-658., articleTitle=Gas flow in ultra-tight shale strata, refAbstract=We study the gas flow processes in ultra-tight porous media in which the matrix pore network is composed of nanometre- to micrometre-size pores. We formulate a pressure-dependent permeability function, referred to as the apparent permeability function (APF), assuming that Knudsen diffusion and slip flow (the Klinkenberg effect) are the main contributors to the overall flow in porous media. The APF predicts that in nanometre-size pores, gas permeability values are as much as 10 times greater than results obtained by continuum hydrodynamics predictions, and with increasing pore size (i.e. of the order of the micrometre), gas permeability converges to continuum hydrodynamics values. In addition, the APF predicts that an increase in the fractal dimension of the pore surface leads to a decrease in Knudsen diffusion. Using the homogenization method, a rigorous analysis is performed to examine whether the APF is preserved throughout the process of upscaling from local scale to large scale. We use the well-known pulse-decay experiment to estimate the main parameter of the APF, which is Darcy permeability. Our newly derived late-transient analytical solution and the late-transient numerical solution consistently match the pressure decay data and yield approximately the same estimated value for Darcy permeability at the typical core-sample initial pressure range and pressure difference. Other parameters of the APF may be determined from independent laboratory experiments; however, a pulse-decay experiment can be used to estimate the unknown parameters of the APF if multiple tests are performed and/or the parameters are strictly constrained by upper and lower bounds.), Reference(id=1241719582218580924, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=null, pmid=null, pmcid=null, year=2017, volume=47, issue=11, pageStart=119, pageEnd=128, url=null, language=null, rfNumber=[16], rfOrder=15, authorNames=孙海, 姚军, Yalchin Efendiev, journalName=中国科学: 物理学力学天文学, refType=null, unstructuredReference=孙海, 姚军, Yalchin Efendiev. 基于均匀化理论的页岩基岩运移机制尺度升级研究[J].
中国科学: 物理学力学天文学,
2017,
47(11): 119-128., articleTitle=基于均匀化理论的页岩基岩运移机制尺度升级研究, refAbstract=null), Reference(id=1241719582298272702, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1016/j.petrol.2019.106392, pmid=null, pmcid=null, year=2019, volume=null, issue=null, pageStart=183, pageEnd=null, url=null, language=null, rfNumber=[17], rfOrder=16, authorNames=Fan W P, Sun H, Yao J, journalName=Journal of Petroleum Science and Engineering, refType=null, unstructuredReference=
Fan W P,
Sun H,
Yao J, et al. An upscaled transport model for shale gas considering multiple mechanisms and heterogeneity based on homogenization theory[J].
Journal of Petroleum Science and Engineering,
2019, 183, doi:
10.1016/j.petrol.2019.106392., articleTitle=An upscaled transport model for shale gas considering multiple mechanisms and heterogeneity based on homogenization theory, refAbstract=null), Reference(id=1241719582390547394, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=null, pmid=null, pmcid=null, year=2014, volume=44, issue=2, pageStart=212, pageEnd=220, url=null, language=null, rfNumber=[18], rfOrder=17, authorNames=Yao J, Gao B, Huang Z Q, journalName=Scientia Sinica Physica, Mechanica & Astronomica, refType=null, unstructuredReference=
Yao J,
Gao B,
Huang Z Q. On the interface boundary conditions for the Stokes-Darcy coupling problem[J].
Scientia Sinica Physica, Mechanica & Astronomica,
2014,
44(2): 212-220., articleTitle=On the interface boundary conditions for the Stokes-Darcy coupling problem, refAbstract=null), Reference(id=1241719582482822084, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, doi=10.1016/j.advwatres.2019.02.013, pmid=null, pmcid=null, year=2019, volume=126, issue=null, pageStart=137, pageEnd=154, url=https://linkinghub.elsevier.com/retrieve/pii/S0309170818305402, language=null, rfNumber=[19], rfOrder=18, authorNames=Yan X, Huang Z Q, Yao J, journalName=Advances in Water Resources, refType=null, unstructuredReference=
Yan X,
Huang Z Q,
Yao J, et al. Numerical simulation of hydro-mechanical coupling in fractured vuggy porous media using the equivalent continuum model and embedded discrete fracture model[J].
Advances in Water Resources,
2019,
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油气地质与采收率,
2022,
29(1): 145-151., articleTitle=油藏渗流物理和数据联合驱动的深度神经网络模型, refAbstract=null)], funds=[Fund(id=1241719579332899736, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, awardId=52074316, language=CN, fundingSource=国家自然科学基金(52074316), fundOrder=null, country=null), Fund(id=1241719579450340251, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, awardId=52122402, language=CN, fundingSource=国家自然科学基金(52122402), fundOrder=null, country=null), Fund(id=1241719579530032029, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, awardId=52034010, language=CN, fundingSource=国家自然科学基金(52034010), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241719573829972780, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, xref=null, ext=[AuthorCompanyExt(id=1241719573834167085, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, companyId=1241719573829972780, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China), AuthorCompanyExt(id=1241719573842555694, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, companyId=1241719573829972780, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.中国石油大学(北京)石油工程学院,北京 102249)]), AuthorCompany(id=1241719573913858864, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, xref=null, ext=[AuthorCompanyExt(id=1241719573922247473, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, companyId=1241719573913858864, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. College of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China), AuthorCompanyExt(id=1241719573930636082, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, companyId=1241719573913858864, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.中国石油大学(华东)石油工程学院,青岛 266580)])], figs=[ArticleFig(id=1241719577789395825, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=nmJlzH6OUt8U8lzVX7Ptww==, figureFileBig=7wHhBSTeOc5h94KXzUUUZQ==, tableContent=null), ArticleFig(id=1241719577869087603, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图1, caption=
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中国油气田开发技术体系, figureFileSmall=j/PQZ3oYTvaqpn6F7+NQQQ==, figureFileBig=zRb+HYpRwQ1GpYA28/+sKQ==, tableContent=null), ArticleFig(id=1241719578280129403, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=wd6D2fEQDkpTYC6lVUrfGg==, figureFileBig=y0E/khEbQLx5IvLzKCPuOA==, tableContent=null), ArticleFig(id=1241719578343043965, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图3, caption=
数字岩心成像技术, figureFileSmall=wd6D2fEQDkpTYC6lVUrfGg==, figureFileBig=y0E/khEbQLx5IvLzKCPuOA==, tableContent=null), ArticleFig(id=1241719578405958527, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=/wKaBGHyZxYGpZaf8KcSpA==, figureFileBig=a8n3skwu7xqq1v3zWNKG1A==, tableContent=null), ArticleFig(id=1241719578477261697, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图4, caption=
微流控芯片技术及其在纳微尺度油气藏渗流问题上的应用, figureFileSmall=/wKaBGHyZxYGpZaf8KcSpA==, figureFileBig=a8n3skwu7xqq1v3zWNKG1A==, tableContent=null), ArticleFig(id=1241719578544370563, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=FzBxBmbckqr4KFY1yv1tQQ==, figureFileBig=Xqto5Uhu4eByZipPi/3C7Q==, tableContent=null), ArticleFig(id=1241719578611479429, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图5, caption=
页岩气藏多尺度示意图, figureFileSmall=FzBxBmbckqr4KFY1yv1tQQ==, figureFileBig=Xqto5Uhu4eByZipPi/3C7Q==, tableContent=null), ArticleFig(id=1241719578691171207, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=DVpKRTGxgJmUoZHOUnp8Jw==, figureFileBig=NIBCavNsJjtmb95OVYib+Q==, tableContent=null), ArticleFig(id=1241719578770862985, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图6, caption=
离散缝洞网络模型及其渗流-自由流耦合条件示意图 DFVN,Discrete Fracture Vug Network,离散缝洞网络。L,单元体长度;W,单元体宽度;l,微元体长度;w,微元体宽度。
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“压焖采”一体化不同阶段排驱机制示意图, figureFileSmall=I5zsfuQXToIuu5y7vj/maQ==, figureFileBig=BOMT/unOP3+rkAozsC8g5w==, tableContent=null), ArticleFig(id=1241719578963800975, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=fwGs47RtjYD8TAkEEQlN+A==, figureFileBig=Ea+8O93E3m1r0idfPmzMxw==, tableContent=null), ArticleFig(id=1241719579026715537, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图8, caption=
2300 m含油幅度的裂缝性潜山油藏水平井立体开发示意图, figureFileSmall=fwGs47RtjYD8TAkEEQlN+A==, figureFileBig=Ea+8O93E3m1r0idfPmzMxw==, tableContent=null), ArticleFig(id=1241719579114795924, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=EN, label=null, caption=null, figureFileSmall=jp2D11jU0jsfKNeVMS2myw==, figureFileBig=Jh/8+eoj5PEeBRtAmJQMqQ==, tableContent=null), ArticleFig(id=1241719579186099094, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719510894440973, language=CN, label=图9, caption=
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