| DH1油田水淹层综合解释及应用 |
| |
| 引用本文： | 何俊富,杨斌,钟学斌,鲁洪江,王婧.DH1油田水淹层综合解释及应用[J].物探化探计算技术,2012,34(2):147-152,6. |
| |
| 作者姓名： | 何俊富 杨斌 钟学斌 鲁洪江 王婧 |
| |
| 作者单位： | 1. 油气藏地质及开发工程国家重点实验室成都理工大学,四川成都,610059
2. 中石化西北油田分公司 雅克拉采气厂,新疆乌鲁木齐,830000 |
| |
| 摘 要： | 针对DH1油田大部份油层已出现不同程度的水淹,为了了解各小层水淹情况,为后期勘探开发提供依据。这里利用常规测井资料建立神经网络识别模型来预测油层是否被水淹,然后针对识别出的水淹层,定量计算剩余油饱和度S_o、含水率F_w、驱油效率η等参数,最后结合实际情况,给出研究区水淹程度划分标准。通过对DH1油田七口新井的水淹层进行水淹级别划分表明,正确率可达80%以上,具有较好的应用效果。
|
| 关 键 词： | 水淹层 常规测井 BP神经网络 水淹特征 水淹级别 |
COMPREHENSIVE INTERPRETATION OF WATER FLOODED LAYER AND ITS APPLICATION IN DH1 OILFIELD |
| |
| Institution: | HE Jun-fu1, YANG Bin1, ZHONG Xue-bin2, et al. (1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploration "Chengdu University of Technology", Chengdu 610059, China; 2.YaKeLa Oil and Gas Exploitation Factory,Northwest Company, SINOPEC, Wulumuqi 830000, China) |
| |
| Abstract: | Most of the oil layers in DH1 oilfield has a different degree of water flooded. In order to understand each layer s water flooded and to provide basis for later exploration and development, we used conventional logging data to establish the neural network identification model to identify whether oil reservoir was flooded or not. Then based on this water flooded, it is calculated the remaining oil saturation Sw, moisture content Fw, and displacement efficiency η parameters. Based on the actual cases it was given flooded degree of the division standard in the research area, and it was divided the level of water flooded layer of seven new Wells in the DH1 oilfield, and the accuracy rate up to 80 per. So the method has good application effect. |
| |
| Keywords: | water flooded layers conventional log BP neural network the characteristics of water flooded level of water flooded |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
