Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin
Abstract The target reservoir is a typical blocky bottom water reservoir. There are several interlayers of varying scales inside it, which impact the characteristics of the oil production and water breakthrough curves of the wells in the water flooding development oilfield, resulting in strong heter...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-025-86149-x |
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| author | Mengjiao Dou Shaohua Li Wanjiang Bian Huan Wang Lunjie Chang Zhengjun Zhu Jun Li |
| author_facet | Mengjiao Dou Shaohua Li Wanjiang Bian Huan Wang Lunjie Chang Zhengjun Zhu Jun Li |
| author_sort | Mengjiao Dou |
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| description | Abstract The target reservoir is a typical blocky bottom water reservoir. There are several interlayers of varying scales inside it, which impact the characteristics of the oil production and water breakthrough curves of the wells in the water flooding development oilfield, resulting in strong heterogeneity within the reservoir. The Sangtamu Oilfield has an average well spacing of approximately 600 m, causing a challenge in accurately identifying the range of small-scale interlayer spreading. This, in addition, challenges the subsequent 3D geological modeling process. This paper proposes a method to accurately characterize the size of various interlayers in a reservoir by using production dynamics data from bottom water reservoirs to invert the interlayer scale. By classifying the water breakthrough curve styles derived from theoretical testing, the range of reservoir internal interlayer scales is compared and inverted based on the actual water breakthrough styles of wells in the Sangtamu oil field. In the process, many interlayer scales derived from various types of geologic data acquisition were combined to form a quantitative geologic knowledge database of interlayers that synthesizes both dynamic and static data. This method has been applied in the Tarim Basin’s Sangtamu Oilfield, where the reservoir numerical simulation history was used to fit the model. This resulted in an overall fitting coincidence rate of 96% in the Sangtamu Oilfield and a single-well fitting coincidence rate of over 90% in well LN14. This method offers a new viewpoint on characterizing the interlayer’s scale in the area of the non-dense well network. |
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| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-0609365971dc43b8bfbfb836d29f59f12025-01-26T12:32:54ZengNature PortfolioScientific Reports2045-23222025-01-0115111910.1038/s41598-025-86149-xInversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basinMengjiao Dou0Shaohua Li1Wanjiang Bian2Huan Wang3Lunjie Chang4Zhengjun Zhu5Jun Li6School of Geosciences, Yangtze UniversitySchool of Geosciences, Yangtze UniversityExploration and Development Research Institute, PetroChina Tarim Oilfield CompanySchool of Geosciences, Yangtze UniversityExploration and Development Research Institute, PetroChina Tarim Oilfield CompanyExploration and Development Research Institute, PetroChina Tarim Oilfield CompanyExploration and Development Research Institute, PetroChina Tarim Oilfield CompanyAbstract The target reservoir is a typical blocky bottom water reservoir. There are several interlayers of varying scales inside it, which impact the characteristics of the oil production and water breakthrough curves of the wells in the water flooding development oilfield, resulting in strong heterogeneity within the reservoir. The Sangtamu Oilfield has an average well spacing of approximately 600 m, causing a challenge in accurately identifying the range of small-scale interlayer spreading. This, in addition, challenges the subsequent 3D geological modeling process. This paper proposes a method to accurately characterize the size of various interlayers in a reservoir by using production dynamics data from bottom water reservoirs to invert the interlayer scale. By classifying the water breakthrough curve styles derived from theoretical testing, the range of reservoir internal interlayer scales is compared and inverted based on the actual water breakthrough styles of wells in the Sangtamu oil field. In the process, many interlayer scales derived from various types of geologic data acquisition were combined to form a quantitative geologic knowledge database of interlayers that synthesizes both dynamic and static data. This method has been applied in the Tarim Basin’s Sangtamu Oilfield, where the reservoir numerical simulation history was used to fit the model. This resulted in an overall fitting coincidence rate of 96% in the Sangtamu Oilfield and a single-well fitting coincidence rate of over 90% in well LN14. This method offers a new viewpoint on characterizing the interlayer’s scale in the area of the non-dense well network.https://doi.org/10.1038/s41598-025-86149-xInterlayer scaleBottom water reservoirDynamic informationBottom water coningGeologic knowledge database |
| spellingShingle | Mengjiao Dou Shaohua Li Wanjiang Bian Huan Wang Lunjie Chang Zhengjun Zhu Jun Li Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin Scientific Reports Interlayer scale Bottom water reservoir Dynamic information Bottom water coning Geologic knowledge database |
| title | Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin |
| title_full | Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin |
| title_fullStr | Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin |
| title_full_unstemmed | Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin |
| title_short | Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin |
| title_sort | inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs sangtamu oilfield tarim basin |
| topic | Interlayer scale Bottom water reservoir Dynamic information Bottom water coning Geologic knowledge database |
| url | https://doi.org/10.1038/s41598-025-86149-x |
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