The tentative application of artificial intelligence algorithm to evaluating continental shale gas resources: A case study of Qintong sag in Subei (North Jiangsu) Basin
Ying TAN1(), Wei-Song YANG2, Zhen-Sheng LI3
1. East China Mineral Exploration & Development Bureau, Nanjing 21000, China 2. Communication and Electronic School, Jiangxi Science & Technology Normal University, Nanchang 330013, China 3. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China
Taking Qintong sag of Subei basin in lower Yangtze area as the demonstration area, the authors investigated the evaluation of shale gas resources with the artificial intelligence method. With the combination algorithm designs, the authors conducted the whole process of demonstration operation based on continental shale gas resources evaluation parameters of the work area. First, Qintong sag was divided into 14 sample areas by the method of deformation structure partition; then, using the fuzzy mathematics method, the authors obtained quantitative and half-quantitative parameter values; after that, using factor analysis method the authors conducted the evaluation of 14 sample areas in a single plane; finally, composite evaluation of five shale gas layers in vertical direction of 14 sample areas was made based on the evaluation of 5 single planes. In order to get the equivalence data of each single layer, the authors introduced the zero value and grading values. The practise of the combination algorithm designs has the reference value for the shale gas resources evaluation system of artificial intelligence.
谈迎, 杨伟松, 李振生. 陆相页岩气资源评价中人工智能算法的探索——以苏北盆地溱潼凹陷为例[J]. 物探与化探, 2018, 42(1): 96-103.
Ying TAN, Wei-Song YANG, Zhen-Sheng LI. The tentative application of artificial intelligence algorithm to evaluating continental shale gas resources: A case study of Qintong sag in Subei (North Jiangsu) Basin. Geophysical and Geochemical Exploration, 2018, 42(1): 96-103.