随着大数据和人工智能技术在油气勘探开发领域应用不断拓展, 数字化, 智能化防漏堵漏技术已
成为必然发展趋势, 基于机器学习的算法模型及配套软件是核心内容. 通过系统归纳分析了人工 …

With the expanding of big data and artificial intelligence (AI) technology in oil and gas
exploration and exploitation, the development of digital and intelligent lost circulation control …

面对当前勘探开发对象日趋复杂和低油价的压力, 针对长庆油田页岩油, 致密气赋存特点探索
形成了“水平井, 多层系, 立体式, 大井丛, 工厂化” 开发新模式, 实现了地质工程一体化规模 …

地震层位拾取是构造解释, 地震反演和储层预测等工作的基础. 现有的地震层位智能拾取方法
常常没有充分利用地震数据及属性对训练样本选取, 网络建模和结果分析等进行质控. 为此 …

In this study, a k-nearest neighbor (kNN) method based on nonlinear directional dimension
reduction is applied to gas-bearing reservoir prediction. The kNN method can select the …

The deep learning algorithm, which has been increasingly applied in the field of petroleum
geophysical prospecting, has achieved good results in improving efficiency and accuracy …

To address the problem of fault-fracture reservoir identification, a new method based on
superresolution (SR) seismic signal reconstruction is established to identify faults, sliding …

Facing the pressure of the increasingly complex exploration and development objects and
low oil price, Changqing Oilfield has explored and formed a new development mode of …

The complex faults, especially mid-deep faults, in the Laoyemiao area of the Nanpu Sag, the
Bohai Bay Basin, are unclearly understood for their characteristics, constraining the …

Efficient and high-quality processing of seismic data collected by geophone sensors is the
core of successful seismic exploration. Seismic denoising is a key step in seismic data …