Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field
At high water cut stage, the study of remaining oil distribution in water-flooding reservoir is the basis of implementing potential-tapping measures and enhancing oil recovery. At present, most of the oilfields in China have entered the stage of ultrahigh water cut. The reserves of the oilfields are...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/8870274 |
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| author | Jie Zhang Feifei Fang Jie Wang Yajie Tian Fei Mo Qi Li Sainan Li Xiaoliang Huang Yi Yang |
| author_facet | Jie Zhang Feifei Fang Jie Wang Yajie Tian Fei Mo Qi Li Sainan Li Xiaoliang Huang Yi Yang |
| author_sort | Jie Zhang |
| collection | DOAJ |
| description | At high water cut stage, the study of remaining oil distribution in water-flooding reservoir is the basis of implementing potential-tapping measures and enhancing oil recovery. At present, most of the oilfields in China have entered the stage of ultrahigh water cut. The reserves of the oilfields are highly developed, the situation of water flooding is extremely complex, and it is difficult to predict the distribution of the remaining oil, which seriously restricts the adjustment of the production measures, tapping the potential and improving the ultimate recovery rate. In view of aforementioned difficulties, this study puts forward a research approach to predict remaining oil distribution based on reservoir heterogeneity, which can quantitatively characterize reservoir heterogeneity. In order to avoid the drawback that a single parameter cannot fully describe the characteristics of pore structure, the composite index of pore structure (SQRT(K/Φ)) is introduced to study the pore microstructure. The composite index of pore structure is used to predict the distribution of remaining oil in the formation, and the results are basically consistent with those calculated by numerical simulation. It is concluded that the larger the fractal dimension of the composite index of pore structure is, the stronger the heterogeneity of reservoir is; the smaller the composite index of pore structure is, the smaller the recovery degree is. The composite index of pore structure is used to analyze and predict the distribution of remaining oil in the layer, which provides a new direction for the prediction method of remaining oil. |
| format | Article |
| id | doaj-art-ac95b070075e4085baedd13e48f5adec |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-ac95b070075e4085baedd13e48f5adec2025-02-03T05:57:50ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/88702748870274Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-FieldJie Zhang0Feifei Fang1Jie Wang2Yajie Tian3Fei Mo4Qi Li5Sainan Li6Xiaoliang Huang7Yi Yang8Institute of Porous Flow and Fluid Mechanics, University of Chinese Academy of Sciences, Langfang 065007, ChinaSchool of Petroleum Engineering, Chongqing University of Science & Technology, Chongqing 401331, ChinaSchool of Petroleum Engineering, Chongqing University of Science & Technology, Chongqing 401331, ChinaOil Field Development Research Institute, Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100089, ChinaSchool of Petroleum Engineering, Chongqing University of Science & Technology, Chongqing 401331, ChinaInstitute of Porous Flow and Fluid Mechanics, University of Chinese Academy of Sciences, Langfang 065007, ChinaSchool of Petroleum Engineering, Chongqing University of Science & Technology, Chongqing 401331, ChinaSchool of Petroleum Engineering, Chongqing University of Science & Technology, Chongqing 401331, ChinaInstitute of Porous Flow and Fluid Mechanics, University of Chinese Academy of Sciences, Langfang 065007, ChinaAt high water cut stage, the study of remaining oil distribution in water-flooding reservoir is the basis of implementing potential-tapping measures and enhancing oil recovery. At present, most of the oilfields in China have entered the stage of ultrahigh water cut. The reserves of the oilfields are highly developed, the situation of water flooding is extremely complex, and it is difficult to predict the distribution of the remaining oil, which seriously restricts the adjustment of the production measures, tapping the potential and improving the ultimate recovery rate. In view of aforementioned difficulties, this study puts forward a research approach to predict remaining oil distribution based on reservoir heterogeneity, which can quantitatively characterize reservoir heterogeneity. In order to avoid the drawback that a single parameter cannot fully describe the characteristics of pore structure, the composite index of pore structure (SQRT(K/Φ)) is introduced to study the pore microstructure. The composite index of pore structure is used to predict the distribution of remaining oil in the formation, and the results are basically consistent with those calculated by numerical simulation. It is concluded that the larger the fractal dimension of the composite index of pore structure is, the stronger the heterogeneity of reservoir is; the smaller the composite index of pore structure is, the smaller the recovery degree is. The composite index of pore structure is used to analyze and predict the distribution of remaining oil in the layer, which provides a new direction for the prediction method of remaining oil.http://dx.doi.org/10.1155/2021/8870274 |
| spellingShingle | Jie Zhang Feifei Fang Jie Wang Yajie Tian Fei Mo Qi Li Sainan Li Xiaoliang Huang Yi Yang Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field Advances in Civil Engineering |
| title | Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field |
| title_full | Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field |
| title_fullStr | Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field |
| title_full_unstemmed | Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field |
| title_short | Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field |
| title_sort | prediction of intraformational remaining oil distribution based on reservoir heterogeneity application to the j field |
| url | http://dx.doi.org/10.1155/2021/8870274 |
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