Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example
After long-term water flooding development in old oilfields, oil layers are generally flooded. Accurate and rapid recognize the water flooding layer is the key to later infill well layout and development plan adjustment. In this paper, taking Xingbei area of Daqing Oilfield as an example, on the bas...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/25/e3sconf_gesd2022_01027.pdf |
| _version_ | 1811179601729159168 |
|---|---|
| author | Shang Xiaoyu |
| author_facet | Shang Xiaoyu |
| author_sort | Shang Xiaoyu |
| collection | DOAJ |
| description | After long-term water flooding development in old oilfields, oil layers are generally flooded. Accurate and rapid recognize the water flooding layer is the key to later infill well layout and development plan adjustment. In this paper, taking Xingbei area of Daqing Oilfield as an example, on the basis of clarifying the characteristics of the water-flooded layer curve, through logging curve optimization, data preprocessing and algorithm model optimization processes, a rapid identification model of water-flooded layer suitable for this block is established. The results show that the HAC, CAL, RLLS and RMG curves with hidden duplicate information can be removed through the correlation screening of logging curves and the importance score of the tree model, which can reduce the amount of data calculation. When the four algorithms are used to identify the flooding level of each layer, the recognition rate of the XGboost algorithm can reach up to 95.45%; the reliability of this result has been confirmed in the model verification process (87.89%), which further shows that the model can be used to identify Xingbei area flooded. |
| first_indexed | 2024-04-11T06:37:03Z |
| format | Article |
| id | doaj.art-5e499998c78345669be80d338af7dfb5 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-11T06:37:03Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-5e499998c78345669be80d338af7dfb52022-12-22T04:39:39ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013580102710.1051/e3sconf/202235801027e3sconf_gesd2022_01027Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an exampleShang Xiaoyu0No.4 Oil Production Plant in Daqing Oilfield Co Ltd.After long-term water flooding development in old oilfields, oil layers are generally flooded. Accurate and rapid recognize the water flooding layer is the key to later infill well layout and development plan adjustment. In this paper, taking Xingbei area of Daqing Oilfield as an example, on the basis of clarifying the characteristics of the water-flooded layer curve, through logging curve optimization, data preprocessing and algorithm model optimization processes, a rapid identification model of water-flooded layer suitable for this block is established. The results show that the HAC, CAL, RLLS and RMG curves with hidden duplicate information can be removed through the correlation screening of logging curves and the importance score of the tree model, which can reduce the amount of data calculation. When the four algorithms are used to identify the flooding level of each layer, the recognition rate of the XGboost algorithm can reach up to 95.45%; the reliability of this result has been confirmed in the model verification process (87.89%), which further shows that the model can be used to identify Xingbei area flooded.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/25/e3sconf_gesd2022_01027.pdfoil fieldwater-flooded layerlogging curvedata processingalgorithm model |
| spellingShingle | Shang Xiaoyu Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example E3S Web of Conferences oil field water-flooded layer logging curve data processing algorithm model |
| title | Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example |
| title_full | Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example |
| title_fullStr | Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example |
| title_full_unstemmed | Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example |
| title_short | Research on fast identification model of water-flooded layer in old oilfield-- Taking Xingbei area of Daqing Oilfield as an example |
| title_sort | research on fast identification model of water flooded layer in old oilfield taking xingbei area of daqing oilfield as an example |
| topic | oil field water-flooded layer logging curve data processing algorithm model |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/25/e3sconf_gesd2022_01027.pdf |
| work_keys_str_mv | AT shangxiaoyu researchonfastidentificationmodelofwaterfloodedlayerinoldoilfieldtakingxingbeiareaofdaqingoilfieldasanexample |