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Journal of Petroleum Science & Engineering
Elsevier Science B.V.
Journal of Petroleum Science & Engineering

Elsevier Science B.V.

0920-4105

Journal of Petroleum Science & Engineering/Journal Journal of Petroleum Science & Engineering
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    An experimental insight into the influence of sand grain size distribution on the petrophysical and geomechanical properties of artificially made sandstones

    Mohammad Hossein ShahsavariMahmood Shakiba
    11页
    查看更多>>摘要:In this day and age, the performance of oil and gas wells is severely affected by downhole and reservoir geomechanical problems. The key factor in predicting and solving these problems is a detailed study of the various aspects of the compressive and tensile behavior of the reservoir rock. In this study, the influence of mean sand grain size distribution as an important parameter influencing the petrophysical and geomechanical properties of the rock has been investigated using synthetic sandstone core samples. The results show that increasing the grain size range from 0.1 to 0.2 mm to 0.1-0.8 mm would result in a 23% and 64% decrease in rock porosity and permeability, respectively. However, such an unfavorable trend would be mitigated by the removal of fine particles from the rock composition. According to the results, there is a critical range of sand grains (i.e., 0.2-0.6 mm) above which rock permeability would be severely affected by a change in grain size. At the same compressive stress, the fine sandstones showed a more compressive deformation compared to the coarse specimens. In this regard, a direct relationship between rock compressive strength/Young's modulus and sand grain size was found. The results also indicate that fracture in the fine specimen initiates at lower stress conditions than in the coarse sample. This implies that the weakest grain to grain boundary (GGB) is weaker in the fine-grained samples than in the coarsegrained specimens.

    Diagenetic and hydrothermal fluid influence on tight sandstone reservoir quality: Gravity-flow deposits from the Huangliu Formation, Ledong area, Yinggehai Basin, South China Sea

    Jing ZhaoZhilong HuangCaiwei Fan
    23页
    查看更多>>摘要:The tight sandstone of gravity-flow deposits in Miocene Mbr 2 of the Huangliu Fm, Ledong area is one of the focuses future exploration in the Yinggehai Basin. Reservoirs have complex sedimentary and diagenesis processes, experienced multi-stage fluid influence. However, the influence of different diagenesis on reservoir quality, and distribution patterns of different diagenetic facies in Mbr 2 of the Huangliu Fm are still short in research. In this paper, a variety of methods, such as thin sections analysis, electron microscopy (SEM), electron probe micro-analyzer (EPMA), cathode luminescence (CL), x-ray diffraction measurement (XRD), in situ carbon and oxygen isotopes composition of cements (SIMS), fluid inclusion homogenization temperature, and high-pressure mercury injection (HPMI), are used to analyze reservoir quality, diagenetic evolution stages, diagenesis, fluid filling processes, etc. Studies have shown that there are obvious differences in diagenetic evolution process, including carbonate cementation. organic acid and hydrothermal dissolution, etc. Which ultimately leads to large differences in physical properties. Although sandstone texture has an impact on reservoir quality, strong compaction and early carbonate cementation were the main reasons for reservoir densification. Early calcite was precipitated in alkaline seawater, and later ferrocalcite was formed by the re crystallization of calcite and polyframboidal pyrites and euhedral pyrites formed under organic acid charged. After hydrothermal fluid charged, dolomite, iron dolomite, cement pyrites and dispersed granular pyrites precipitated. Besides, illite filled the throat. The dissolution of organic acids and late CO2-rich hydrothermal fluids improved the quality of reservoirs. According to the difference of diagenetic process and the quality of the reservoirs, Mbr 2 of the Huangliu Fm is divided into 4 types of diagenetic facies. High-quality reservoirs are mostly developed in H2-I, H2-II, and H2-V sand formation near faults. Early carbonate cements were less developed, which could support primary intergranular pores. Feldspar, rock fragments, and early carbonate cements were strongly dissolved. It includes two diagenetic facies, low cementation-strong dissolution reservoirs and slightly cementation-weaken dissolution reservoirs. On the contrary, tight reservoirs mostly develop in H2-III, H2-IV, and H2-V sand formation far away from faults, including late compacted tight reservoirs and early carbonate cementation tight reservoirs. The research results are helpful to analyze the diagenetic evolution of tight sandstone reservoirs, and conducive to the study of similar gravity-flow reservoir quality with the influence of hydrothermal fluids.

    A new approach in well placement optimization using metaheuristic algorithms

    Sajjad RajiArezoo DehnamakiBehzad Somee
    10页
    查看更多>>摘要:The need to determine the optimum well placement which causes maximum cumulative oil production has dramatically raised in recent years. Hence, there is a need for a reliable and accurate tool to diagnose the possible solutions in a cost-and time-effective manner. Two of the most commonly used algorithms in this area are Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). These two algorithms, the similar used methodologies for finding the optimum well location, suffer from local optimization issues. These algorithms are slow, and their found points is not accurate. Therefore, in this study, a new meta-heuristic optimization algorithm known as the Black Widow Optimization (BWO) is employed to optimize the location of five production wells. The results are compared to those of PSO and GA. To this end, the cumulative oil production is intended as the objective function, and a simplified model of an actual reservoir is simulated. Afterward, the well placement is optimized. The results revealed a higher improvement of the objective function for the BWO algorithm compared to PSO and GA. The new algorithm was faster and resulted in a better optimum point. Concisely, the BWO algorithm reduced the associated time complexities up to 9.19% and 18.29% compared to GA and PSO, respectively. The PUNQ-S3 reservoir model was also employed to validate the results.

    Interwell connectivity inversion method of steam flooding: Based on an analytical model and genetic algorithm

    Dong ZhaoJian HouJianfang Sun
    12页
    查看更多>>摘要:The steam channeling between wells of steam flooding in heavy oil reservoirs is an important factor impacting the development effect. Interwell connectivity is a key indicator for analyzing and predicting steam channeling. At present, only the correlation between injection and production is used to analyze the interwell connectivity, and the variation characteristics of liquid production and bottom hole temperature are not comprehensively considered to achieve the quantitative prediction of interwell connectivity in steam flooding. In this paper, based on the mass-conservation equation and energy-conservation equation, the analytical-calculation model of liquid production and bottom hole temperature of steam flooding in one injection well and one production well model is established. The 'interwell connectivity coefficients' are used as the splitting parameter of injected steam to each production well, and the analytical-calculation model of multiwell injection-production is extended. Taking the minimum mean square deviation of the error between the liquid production and bottom hole temperature as the objective function, the genetic algorithm is used to fit the liquid production and bottom hole temperature, and the 'interwell connectivity coefficients' of steam flooding are inverted. The innovation of this method lies in the establishment of analytical models of multiwell injection-production fluid production and bottom hole temperature and the establishment of a variable weight function in the objective function, which improves the accuracy of interwell connectivity inversion of steam flooding. Utilizing reservoir numerical simulation technology, the accuracy of the method is verified by synthetic models of homogeneous and high-permeability channels. The method is applied to the steam flooding reservoir of the Ng5 unit in Zhongerbei, Shengli Oilfield, China. The interwell connectivity of the two steam flooding well groups is inverted, and the results are consistent with the tracer analysis results. The findings of this study can help for better understanding of the geological conditions of the steam flooding reservoirs, and provide guidance for the selection of the next development plan.