{"id":18683,"date":"2022-06-02T08:00:34","date_gmt":"2022-06-02T00:00:34","guid":{"rendered":"http:\/\/learncmg.cn\/?p=18683"},"modified":"2022-06-02T08:00:34","modified_gmt":"2022-06-02T00:00:34","slug":"130-transient-shape-factors-for-thermal-flow-simulation-in-fractured-reservoirs","status":"publish","type":"post","link":"http:\/\/learncmg.cn\/?p=18683","title":{"rendered":"130. \u88c2\u7f1d\u6027\u7a20\u6cb9\u85cf\u70ed\u91c7\u6a21\u62df\u7684\u77ac\u6001\u5f62\u72b6\u56e0\u5b50\u8ba1\u7b97\u65b9\u6cd5"},"content":{"rendered":"
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\u5929\u7136\u88c2\u7f1d\u6027\u50a8\u5c42\uff08NFR\uff09\u6a21\u62df\u6781\u5176\u8270\u5de8\u4e14\u5177\u6709\u6311\u6218\u6027\u3002NFR\u6a21\u62df\u6700\u91cd\u8981\uff0c\u6700\u56f0\u96be\u7684\u4e8b\u60c5\u662f\u901a\u8fc7\u5f62\u72b6\u56e0\u5b50\u5bf9\u57fa\u8d28\u4e0e\u88c2\u7f1d\u4e4b\u95f4\u7684\u6d41\u4f53\u4ea4\u6362\u8fdb\u884c\u51c6\u786e\u8ba1\u7b97\u3002\u672c\u535a\u58eb\u8bba\u6587\u901a\u8fc7\u5b9a\u4e49\u5408\u9002\u7684\u77ac\u6001\u57fa\u8d28\u4e0e\u88c2\u7f1d\u5f62\u72b6\u56e0\u5b50\u516c\u5f0f\uff0c\u66f4\u597d\u5730\u7406\u89e3\u53cc\u91cd\u5b54\u9699\u7cfb\u7edf\u4e2d\u88c2\u7f1d\u548c\u57fa\u8d28\u5757\u4f53\u4e4b\u95f4\u7684\u7269\u8d28\u4ea4\u6362\uff0c\u63d0\u51fa\u4e86\u88c2\u7f1d\u4e0e\u57fa\u8d28\u7684\u975e\u7b49\u6e29\u6d41\u4f53\u4ea4\u6362\u65b9\u6cd5\uff0c\u7528\u4e8e\u63cf\u8ff0\u5929\u7136\u88c2\u7f1d\u6cb9\u85cf\u70ed\u91c7\u6a21\u62df\u7684\u591a\u76f8\u6d41\u7cfb\u7edf\u3002\u5f00\u53d1\u4e86\u4e00\u4e2aMATLAB\u7a0b\u5e8f\uff0c\u5e76\u548cCMG-STARS\u8026\u5408\u8ba1\u7b97\u77ac\u6001\u5f62\u72b6\u56e0\u5b50\uff08TSF\uff09\u5f97\u51fa\u5904\u7406\u5f62\u72b6\u56e0\u5b50\u7684\u6700\u5408\u9002\u65b9\u6cd5\uff0c\u4ee5\u6355\u83b7NFR\u4e2d\u975e\u7b49\u6e29\u6d41\u4f53\u6d41\u52a8\u7684\u76f8\u5173\u7279\u5f81\u3002\u672c\u7814\u7a76\u7684\u7ed3\u8bba\u662f\uff0c\u5f53\u4f7f\u7528\u53cc\u5b54\u6a21\u578b\uff0c\u9700\u8981\u77ac\u6001\u5f62\u72b6\u56e0\u5b50\u6765\u51c6\u786e\u6a21\u62dfNFRs\u70ed\u91c7\u8fc7\u7a0b\u3002<\/p>\n

Transient Shape Factors for Thermal Flow Simulation in Fractured Reservoirs<\/a><\/h3>\n

ABSTRACT<\/strong><\/p>\n

The simulation of naturally fractured reservoirs (NFRs) is an extremely daunting and challenging task. The most important and difficult aspect of modeling a naturally fractured reservoir is the accurate estimation of the fluid exchange between matrix and surrounded fractures, which is modeled via a shape factor.<\/p>\n

The main focuses of this dissertation are the characterization and understanding as to how shape factors are utilized for modeling non-isothermal, fracture-matrix fluid exchange in fractured reservoirs. The intention of this research, therefore, is to achieve a better understanding of the matter exchanges between fractures and matrix blocks in a dual porosity system by defining an appropriate transient matrix-fracture shape factor formulation that accounts for a multiphase flow system in thermal reservoir simulation of naturally fractured reservoirs. A novel and more general technique are developed for the exchange of fluids between the matrix blocks and the surrounded fractures. The concept of a new transient shape factor is introduced for non-isothermal, dual-porosity models and validated against the most current shape factor formulations. In this study, the CMG STARS simulator is used to estimate and validate the proposed transient shape factor. A MATLAB code is developed and coupled with the CMG STARS to compute transient shape factor (TSF). This new technique describes the most appropriate way of treating a shape factor to capture the pertinent features of non-isothermal fluid flow in NFRs. A robust transformation function (T.F) formulation is developed between the fractures and the matrix for a better representation of a dual-porosity system in thermal recovery. The proposed transient shape factor (TSF) model is validated against a fine grid single porosity model and an historical field data to confirm the model capability for reproducing accurate physical processes and recovery mechanisms. The results clearly demonstrate that a constant value of the shape factor (e.g., Kazemi\u2019s formulation) cannot be used to predict the overall performance in dual-media systems due to invalid assumptions. The conclusions from this study clearly show that a suitable and accurate transfer transient shape factor is required for an appropriate modeling of a thermal recovery process in NFRs when using dual-porosity formulations.<\/p>\n

<\/p>\n

<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

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