期刊,Journal of Petroleum Science & Engineering 2022年208PA卷期_国家学术搜索

期刊信息/Journal information

Journal of Petroleum Science & Engineering

Elsevier Science B.V.

主办单位：Elsevier Science B.V.

国际刊号：0920-4105

Journal of Petroleum Science & Engineering/Journal Journal of Petroleum Science & Engineering

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Pressure transient analysis of a fractured well in multi-region linear composite reservoirs

Qi DengRen-Shi NieShuhua Wang

17页

查看更多>>摘要：Linear composite reservoirs, which can be represented as linear assemblies of distinct homogeneous regions, are among the most common types of ideal heterogeneous reservoirs. Many types of heterogeneous reservoirs, such as conventional and unconventional (tight) fluvio-deltaic reservoirs, meandering stream reservoirs, and fault reservoirs, can be approximated as linear composite systems. However, few studies have focused on the analysis and modeling of fractured wells, which are commonly used to produce tight oil/gas in such systems. In this paper, we present an analytical solution for fluid flows in a vertical finite-conductivity fractured well at an arbitrary position with arbitrary azimuth of fracture plane and in rectangular bounded anisotropic multi-region linear composite reservoirs considering finite-conductivity (partially communicating) faults. The solution is obtained by applying the methods of equivalent transformation, Green's function, and Laplace-finite Fourier cosine transformation. The standard log-log type curves, the dimensionless pressure, and its derivative with respect to to/CD, of the transient pressure response are plotted. Then, the behavior of two well-known linear composite systems (multi-region composite reservoirs and fault reservoirs) and a general linear composite system are examined. The effects of the relevant parameters were analyzed. It is shown that each main characteristic pressure behavior ofwellbore storage and the skin, fractured well, linear composite structure, and finite-conductivity (partially communicating) faults can be identified on the type curves by their characteristic flow regimes. However, the characteristic behavior of each region may be masked by others in the complex multi-region case. It is also shown that the behavior of a fractured well in a general linear reservoir can be considered as a combinational behavior of the fault and multi-region composite reservoir. The presented solution can also be used in well testing to obtain reservoir and well parameters.

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Analytical solutions of critical oil film thickness of negative spreading coefficient in a capillary corner

Mingzhe DongYajun LiPeng Jia

9页

查看更多>>摘要：In this paper, by combining applications of minimum surface free energy with capillary force balance equations, and considering that the total free energy change is zero at thermodynamic equilibrium, an analytical equation of the oil film critical thickness to spread over a water film in a three-dimensional capillary corner is derived. The derivation is based on the analysis proposed by Dong et al. [Journal of Colloid and Interface Science 172 (1995) 21-36]. This analytical solution allows the critical oil film thickness in three-phase systems to be calculated conveniently without lengthy calculation and be readily applied in simulation of three-phase systems in porous media using predictive models. The equation was examined by comparing the analytical solutions with the numerical results by Dong et al. Using the analytical solution, the reason why the oil phase spreads between the gas and water phases in three-phase systems in porous media was analyzed. The spreading of oil phase is controlled by the free energy change, and the spreading of oil phase only occurs in the system when the free energy change during the oil spreading process is negative. Also, there is a critical oil film thickness controlling this process that is a function of interfacial tension, contact angles, and corner angles. This analytical solution of critical oil film thickness can also be utilized to find the correlation of three-phase capillary pressure when the system is in thermodynamic equilibrium for water-wet porous media. This correlation should be useful in pore-scale simulation of three-phase flow of spreading oil.

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Mathematical modeling of solids-drilling fluid separation in shale shakers in oil fields: A state of art review

Cleuton L NascentesValeria Viana MurataLuis Claudio Oliveira-Lopes

20页

查看更多>>摘要：The solids control system originated from oil well drilling recovers the fluid for reuse and ensures compliance with environmental legislation that defines the conditions for solids disposal. The first step of this system is the separation of mud formed by gravels with different granulometry and aqueous or oily base drilling fluid in vibrating shale shakers. In this review three characteristic regions of the screening screen are identified, according to the content of solids and fluid present;; drainage region, drying region and beach region. In order to evaluate the efficiency of the separation in the sieves, predict the influence of operational and geometric parameters on the separation, a broad review of empirical and phenomenological mathematical models is presented. The models are classified in;; models based on screening kinetics, probabilistic models, models based on the coupling between the Discrete Element Model and the Smoothed Particle Hydrodynamics, cake formation models, Lattice Models and analogy with capillary tubes.

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Experimental study on viscosity reduction of heavy oil with water content by synergistic effect of microwave and nano-catalyst

Hanyong LiHang GaoXiaonan Zhao

10页

查看更多>>摘要：With the depleting of conventional oil and gas resources, viscosity reduction of heavy oil became more and more important as a research focus. As a new method of viscosity reduction, the mechanism of microwave-assisted with nano-catalysts is still unclear. In this paper, the viscosity reduction of nano-catalyst and microwave treatment of heavy oil in different water content was studied. The experimental results showed that the maximum viscosity reduction was 96.81 % when the water content was 50 wt% under the conditions of microwave heating power of 614w, microwave heating temperature of 68 °C and nickel nano-catalyst concentration of 0.8 wt%. The oil samples before and after three treatments were analyzed by infrared spectroscopy, element analysis, four-component separation, and two-dimensional gas chromatography-mass spectrometry. By analyzing the changes of functional group, element composition, and component content, the effects of microwave and nano-catalyst were studied. The results showed that the resin and asphaltene content decreased by 17.3 wt%, and the hydrogen to carbon ratio was 2.14 when the water content was 30 wt% under the conditions of microwave heating power of 666w, microwave heating temperature of 65 °C and nickel nano-catalyst concentration of 2.3 wt%, which proved that microwave treatment assisted with nano-catalysts could increase the cracking capacity of macromolecules and the production of coke.

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Subsea feld layout optimization (part II)-the location-allocation problem of manifolds

Haoge LiuTor Berge GjersvikAudun Faanes

15页

查看更多>>摘要：The location-allocation problem of manifolds, which is a part of subsea feld layout optimization, directly affects the fowline cost. This problem has always been studied as a mixed-integer nonlinear programming (MINLP) problem, or an integer linear programming (ILP) problem when there are location options for the facilities. Making a MINLP model is surely convenient to interpret the optimization problem. However, fnding the global optimum of the MINLP model is very hard. Hence, practically, engineers use approximation algorithms to search a good local optimum or give several good location options based on their experience and knowledge to reduce the MINLP model into an ILP model. Nevertheless, the global optimum of the original MINLP model is no longer guaranteed. In this study, enlightened by the graphic theories, we propose a new method in which we reduce the MINLP model into an ILP model-more precisely, a binary linear programming (BLP) model-without compromise of achieving global optimum, but also with extremely high effciency. The breakthrough in both effciency and accuracy of our method for the location-allocation problem of manifolds and wellheads is well demonstrated in various cases with comparison to the published methods and the commercial MINLP solver from LINDO. Besides, we also provide our results for larger-scale problems which were considered infeasible for the commercial MINLP solver. More generally, our method can be regarded as a specifc MINLP/NIP (nonlinear integer programming) solver which can be used for many other applications. This work is the second of a series of papers which systematically introduce an effcient method for subsea feld layout optimization to minimize the development cost.

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Predicting thermal expansion pressure buildup in a deep water oil well with an annulus partially filled with nitrogen

Arthur P. da Veigalanto O. MartinsJohann G.A. Barcelos

10页

查看更多>>摘要：Tliis article proposes a comprehensive multiphysics routine for calculating Annular Pressure Buildup (APB) in vertical oil wells. The routine couples three key aspects influencing the occurrence of APB;; (i) the flow of heated hydrocarbons through the well production tubing, which is accounted for with a multi-component, two-phase hydrodynamic model, (ii) a radial, resistance-based thermal model, which determines the multi-modal heat transfer between the production tubing and the surrounding formation, and (iii) a mechanical model which, when coupled to the previous models, allows the calculation of the APB within each wellbore annulus. The developed routine was compared with actual temperature and pressure field data from a 4,700-m (15,420-ft) deep offshore well composed of three concentric annuli. The innermost annulus (Annulus 1) was partially filled with nitrogen to reduce the buildup of pressure due to thermal expansion. A good agreement is observed between the numerical predictions and the field measurements, which included pressure buildup data for the innermost annulus.

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Wellbore strengthening evaluation with core fracturing apparatus;; An experimental and field test study based on preventive approach

Mohsen KaramiMohammad Javad AmeriSeyed Morteza Mirabbasi

14页

查看更多>>摘要：One of the most persistent and complicated challenges during drilling a well is lost circulation, which leads to more operational cost, time, and risk. Wellbore strengthening (WBS) with the addition of special solid particles, means lost control materials (LCMs), in drilling fluid is a major solution to control the fluid loss and improve the formation pressure-bearing capacity. The preventive approach of wellbore strengthening is based on the plastering effect of mud cake to inhibit the initiation of new induced fractures or the growth of pre-existing ones. The sealing capability of the mud cake can be affected by LCM properties which has been evaluated by some plugging apparatus with slotted disk in previous researches. However, in this paper, a self-designed core fracturing laboratory setup has been developed to simulate the fracturing process of a rock sample in a more realistic situation and study the effect of LCM particles on the creation of an efficient filter cake to improve the fracture gradient of the formation. Artificial cylindrical concrete cores with a central hole have been used to eliminate the heterogeneity effect of the rock and achieve the same experimental conditions. The fracture breakdown pressure (EBP) and fracture reopening pressure (FRP) have been considered as the objective parameters for evaluation of LCM performance. The experimental results on 18 core samples with two different types of LCM and different particle size distribution show that the addition of LCM particles into drilling fluid can improve FBP and FRP up to 33 % and 72 %, respectively. This indicates that the sealing/plastering effect of mud cake can be improved by LCM properties to achieve a higher fracture pressure. In addition, different fluid systems with different LCM types and LCM sizes have various effects on the preventive approach of wellbore strengthening. Finally, one of the drilling fluid formulations with a desirable performance during laboratory tests was selected to apply for drilling the 12~(-1)/4" hole section in one of Iranian oil fields as a preventive approach where a history of severe lost circulations had been reported. The results of field test showed that using this approach was more successful than the remedial approach used in all previous wells of this field and resulted in a significant reduction in cost and material consumption.

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The coupled model of transient non-equilibrium interphase mass transfer rate of sliding bubble and two-phase flow in variable gradient drilling

Ruiyao ZhangJun LiGonghui Liu

16页

查看更多>>摘要：The aim of this research is to investigate the influence of key parameters of variable gradient drilling by injecting hollow-glass spheres (Referred to as HGS, it is a low-density and micron-sized hollow glass sphere) on the interphase mass transfer rate of the surface boundary layer of the sliding bubble in the annulus and the flow law of the two-phase flow in the wellbore after the gas intrusion occurred. Firstly, the key parameters of variable-gradient drilling, such as HGS volume fraction, HGS density, the depth of the filter separator, were coupled with the model of non-equilibrium interphase mass transfer rate and the mathematical model of two-phase flow to establish a new two-phase flow model of transient non-equilibrium interphase mass transfer for variable-gradient drilling. Secondly, the existing classic model and measured data were used for comparative analysis with the model in this paper, and then the accuracy of the model in this paper was verified. Thirdly, based on the on-site data, the numerical calculations and sensitivity analysis were carried out using the model in this paper. Finally, a comparative analysis of the interphase mass transfer rate was performed under equilibrium and non-equilibrium conditions. In addition, the influence on non-equilibrium interphase mass transfer rate of surface boundary layer of the bubble, bottom hole pressure, overflow rate and overflow rate exerted by different separator positions, HGS volume fraction, HGS density, and pumping rate was studied. The results indicated that the interphase mass transfer rate under the non-equilibrium condition was lower than that under the equilibrium condition when the both were at the same well depth or at the same circulation time. The interphase mass transfer rate enhanced with the increase of pumping rate, the depth of filter separator and HGS density, but decreased with the increase of HGS volume fraction. The bottom-hole pressure was negatively correlated with the depth of the filter separator and the volume fraction of HGS, on the contrary, it was positively correlated with the HGS density. Similarly, the gas void fraction, overflow rate and overflow were positively correlated with the depth of filter separator and HGS volume fraction, but negatively correlated with the HGS density. This research can provide a certain theoretical reference for variable gradient drilling.

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Dynamic production optimization based on transfer learning algorithms

Joshua Kwesi DesbordesKai ZhangXiaoming Xue

13页

查看更多>>摘要：Dynamic production optimization involves continuous cycle of model-predictive control initiated at specified times to maximize production net present value (NPV) throughout the expected life of the reservoir. Reevaluating predictive models using traditional methods is computationally expensive. The existing methods for updating production controls, do not take the inter-cycle correlation into account. But such information is valuable for boosting the problem-solving efficiency on the current cycle by utilizing the experience or knowledge extracted from the previous developed cycles. Originally, transfer learning algorithms are difficult to be implemented into the oil and gas industry, due to its high computational cost and random or unavailable learning samples. Therefore, we propose a new transfer learning based optimization framework for dynamic production optimization problems. First, domain adaptation learning (DAL) is used to represent data between two inter-cycles, to decrease the dissimilarity between them. Second, extended boundary constraints (EBC) is a technique used to embed the optimization problem into the learning samples during DAL stage. EBC reduces the burden on computational facilities and makes the algorithm suitable for production optimization. Third, a transfer component analysis (TCA) method is used to simplify the data representation and also extract the data correlation. Then, the extracted correlation is used to produce an effective population for MOEAs. The developed framework is incorporated into three well-known evolutionary algorithms, nondominated sorting genetic algorithm II (NSGAII), multiobjective particle swarm optimization (MOPSO), and multiobjective evolutionary algorithm based on decomposition (MOEA/D) and one single objective optimizer, particle swarm optimization (PSO) for NPV maximization and robust optimization respectively. The proposed method is tested on a series of dynamic benchmark problems dynamic and a practical case based on a three channel reservoir model. Results showed that the proposed method reduces the number of simulation calls needed to reach optimum control options when using population-based evolutionary algorithms. Also, using the proposed technique, a higher NPV and better convergence speed in comparison to their original evolutionary algorithms is achieved.

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Demulsification of crude oil emulsions using ionic liquids;; A computational intelligence approach

Ahmad A. AdewunmiMuhammad Shahzad KamalSunday O. Olatunji

11页

查看更多>>摘要：Ionic liquids have enormous applications in various areas of technology. Among their usage is for the destabilization of crude oil emulsions produced in oilfields. Herein, we propose a support vector regression (SVR) based model for smart screening and prediction water/oil separation driven by ionic liquids demulsifiers. The proposed SVR model applies attributes such as crude oil-water volumes, asphaltenes/resins content, emulsification speed/time, demulsification temperature, ionic liquid concentration, ionic liquid molecular weight, and demulsification time to predict the extent of demulsification performance of representative ionic liquids. Accordingly, the predicted demulsification efficiencies of the assessed ionic liquids exhibited significant matches with the experimental results. The developed approach demonstrated excellent accuracy as indicated by the root mean square error (RSME) values;; 4.0123 and 19.6478 for the training and testing datasets, respectively. Additionally, the model demonstrated a considerable correlation coefficient (R2);; 97.86 % and 75.97 % for the demulsification efficiency of tested ionic liquids in the training and testing datasets, respectively, thereby consolidating an appreciable agreement between the measured and the predicted results. It is envisaged that the SVR model employed in this study would greatly enhance the smart screening of ionic liquids used for demulsification activities in the petroleum and other related industries.

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