Reservoir Permeability Prediction Based on Analogy and Machine Learning Methods: Field Cases in DLG Block of Jing’an Oilfield, China

AbstractReservoir permeability, generally determined by experimental or well testing methods, is an essential parameter in the oil and gas field development. In this paper, we present a novel analogy and machine learning method to predict reservoir permeability. Firstly, the core tes...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Qiao Guo, Shiqing Cheng, Fenghuang Zeng, Yang Wang, Chuan Lu, Chaodong Tan, Guiliang Li
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: GeoScienceWorld 2022-09-01
Цуврал:Lithosphere
Онлайн хандалт:https://pubs.geoscienceworld.org/lithosphere/article/2022/Special%2012/5249460/617865/Reservoir-Permeability-Prediction-Based-on-Analogy