Sand Production Prediction Model for Tight Sandstone Oil Reservoirs
Tight oil is an important unconventional resource, and sand production is an inevitable challenge during the field development. In this paper, based on data from the Daqing oilfield in Songliao Basin, the sand production of the tight sandstone oil reservoir is studied from the perspective of seepage...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2020/8832703 |
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| _version_ | 1850165810852528128 |
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| author | Zhan-dong Li Hong Pang Zhong Li Hai-xiang Zhang Dian-ju Wang Ji Li |
| author_facet | Zhan-dong Li Hong Pang Zhong Li Hai-xiang Zhang Dian-ju Wang Ji Li |
| author_sort | Zhan-dong Li |
| collection | DOAJ |
| description | Tight oil is an important unconventional resource, and sand production is an inevitable challenge during the field development. In this paper, based on data from the Daqing oilfield in Songliao Basin, the sand production of the tight sandstone oil reservoir is studied from the perspective of seepage and in situ stress distribution. Based on the combination of the formation fluid seepage law and the stress distribution around the well, a sand production prediction model is proposed to quantitatively estimate the sand production rate. The sand production prediction model is built based on the derivation of the sand production rate, which is well validated against the field data in the Daqing field with a relative error of 4.38%.The following conclusions are drawn: (1) after the critical pressure difference is exceeded, the sand production rate is smaller with a higher flowing bottom-hole pressure; (2) a smaller sand production radius makes the formation more unstable and causes a more severe sand production; and (3) various sand production rates exhibit due to different permeabilities. A larger permeability results in a higher sand production rate. The findings of this study can help for sand production prediction in the tight sandstone oil reservoir. |
| format | Article |
| id | doaj-art-e185e83b2b6f4fac8b0bac578b0a4b3d |
| institution | OA Journals |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-e185e83b2b6f4fac8b0bac578b0a4b3d2025-08-20T02:21:38ZengWileyGeofluids1468-81151468-81232020-01-01202010.1155/2020/88327038832703Sand Production Prediction Model for Tight Sandstone Oil ReservoirsZhan-dong Li0Hong Pang1Zhong Li2Hai-xiang Zhang3Dian-ju Wang4Ji Li5Key Laboratory of Gas Hydrate Efficient Development of Heilongjiang, Daqing 163318, ChinaCollege of Offshore Oil and Gas Engineering, Northeast Petroleum University, Daqing 163318, ChinaCNOOC Research Institute, Beijing 100027, ChinaKey Laboratory of Gas Hydrate Efficient Development of Heilongjiang, Daqing 163318, ChinaCollege of Offshore Oil & Gas Engineering, Northeast Petroleum University, Heilongjiang Daqing 163318, ChinaCollege of Offshore Oil & Gas Engineering, Northeast Petroleum University, Heilongjiang Daqing 163318, ChinaTight oil is an important unconventional resource, and sand production is an inevitable challenge during the field development. In this paper, based on data from the Daqing oilfield in Songliao Basin, the sand production of the tight sandstone oil reservoir is studied from the perspective of seepage and in situ stress distribution. Based on the combination of the formation fluid seepage law and the stress distribution around the well, a sand production prediction model is proposed to quantitatively estimate the sand production rate. The sand production prediction model is built based on the derivation of the sand production rate, which is well validated against the field data in the Daqing field with a relative error of 4.38%.The following conclusions are drawn: (1) after the critical pressure difference is exceeded, the sand production rate is smaller with a higher flowing bottom-hole pressure; (2) a smaller sand production radius makes the formation more unstable and causes a more severe sand production; and (3) various sand production rates exhibit due to different permeabilities. A larger permeability results in a higher sand production rate. The findings of this study can help for sand production prediction in the tight sandstone oil reservoir.http://dx.doi.org/10.1155/2020/8832703 |
| spellingShingle | Zhan-dong Li Hong Pang Zhong Li Hai-xiang Zhang Dian-ju Wang Ji Li Sand Production Prediction Model for Tight Sandstone Oil Reservoirs Geofluids |
| title | Sand Production Prediction Model for Tight Sandstone Oil Reservoirs |
| title_full | Sand Production Prediction Model for Tight Sandstone Oil Reservoirs |
| title_fullStr | Sand Production Prediction Model for Tight Sandstone Oil Reservoirs |
| title_full_unstemmed | Sand Production Prediction Model for Tight Sandstone Oil Reservoirs |
| title_short | Sand Production Prediction Model for Tight Sandstone Oil Reservoirs |
| title_sort | sand production prediction model for tight sandstone oil reservoirs |
| url | http://dx.doi.org/10.1155/2020/8832703 |
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