Abstract Knowledge about rheology of drilling fluid at wellbore conditions (High pressure
and High temperature) is a need for avoiding drilling fluid losses through the formation …

We propose a physics‐informed convolutional decoder (PICD) framework for inverse
modeling of heterogenous groundwater flow. PICD stands out as a direct inversion method …

Well placement optimization is a crucial task in the oil and gas industry, as it can significantly
impact the overall performance and economic viability of a reservoir. Genetic algorithms GAs …

In recent years, the petroleum industry has devoted considerable attention to studying fluid
flow inside fracture channels due to the discovery of naturally fractured reservoirs. The …

This paper proposes a robust framework for history matching which employs a sequential
execution of sensitivity analysis, proxy modeling and inverse optimization to determine the …

In the petroleum industry, accurate oil reservoir models are crucial in the decision making
process. One critical step in reservoir modeling is History Matching (HM), where the …

To improve the current industry standard one-parameter-at-a-time sensitivity analysis
method, we propose a new sensitivity analysis framework that utilizes Plackett-Burman …

摘要油藏自动历史拟合自提出至今已有50 余年的历史, 在理论和应用研究方面都取得了长足
进展. 为总结油藏自动历史拟合领域的研究进展和关键技术, 以油藏自动历史拟合的发展历程为 …

Best Management Practices (BMPs) can play a vital role to control natural disasters like
floods. In this paper, retention pond and vegetative swale are considered to restrain urban …

Automatic history matching (AHM) of reservoir has made great progress in both theory and
application since its proposal more than 50 years ago. In order to summarize the research …