Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …

Forecasting of oil production plays a vital role in petroleum engineering and contributes to
supporting engineers in the management of petroleum reservoirs. However, reliable …

Oil and gas metering is primarily used as the basis for evaluating the economic viability of oil
wells. Owing to the economic implications of oil and gas metering, the subject of oil and gas …

A forecasting method of oil well production based on multivariate time series (MTS) and
vector autoregressive (VAR) machine learning model for waterflooding reservoir is …

In the past few decades, the machine learning (or data-driven) approach has been broadly
adopted as an alternative to scientific discovery, resulting in many opportunities and …

摘要油气勘探开发领域从常规油气向非常规油气跨越, 是石油工业发展的必然趋势.
全球“页岩气革命” 推动页岩气勘探开发技术得到了迅速发展, 水力压裂成为页岩气高效开发的 …

The accuracy of oil production predictions is crucial in the field of petroleum engineering.
However, due to the time series characteristics of oil production and the complex …

CO2-enhanced shale gas recovery (CO2-ESGR) could efficiently recover gas with
synchronous carbon sequestration, which is safer and more reliable than that in …

CO2 wettability and the reservoir rock-fluid interfacial interactions are crucial parameters for
successful CO2 geological sequestration. This study implemented the feed-forward neural …

提出了一种基于多变量时间序列(MTS) 及向量自回归(VAR) 机器学习模型的水驱油藏产量预测
方法, 并进行了实例应用. 该方法在井网分析的基础上通过MTS 分析对注采井组数据进行优选 …