A review on intelligent recognition with logging data: tasks, current status and challenges

X Zhu, H Zhang, Q Ren, L Zhang, G Huang… - Surveys in …, 2024 - Springer
Geophysical logging series are valuable geological data that record the physical and
chemical information of borehole walls and in-situ formations, and are widely used by …

Refined lithology identification: Methodology, challenges and prospects

H Shi, ZH Xu, P Lin, W Ma - Geoenergy Science and Engineering, 2023 - Elsevier
Refined lithology identification is the reliable basis for determining the spatial distribution of
lithology, reserve estimation and 3D modeling. With the development of artificial intelligence …

A novel hybrid method of lithology identification based on k-means++ algorithm and fuzzy decision tree

Q Ren, D Zhang, X Zhao, L Yan, J Rui - Journal of Petroleum Science …, 2022 - Elsevier
Lithology identification methods based on conventional logging data are essential in
reservoir geological evaluation. Due to the highly non-linear relationship between lithology …

[PDF][PDF] 人工智能在致密储层裂缝测井识别中的应用

董少群, 曾联波, 车小花, 杜相仪, 徐辉, 冀春秋… - 地球科学, 2023 - earth-science.net
裂缝是致密储层的有效储集空间和重要渗流通道, 裂缝对致密储层的勘探与开发至关重要.
单井裂缝识别主要使用井壁成像测井, 阵列声波测井和常规测井, 如何准确识别裂缝是致密储层 …

Lithofacies identification in carbonate reservoirs by multiple kernel Fisher discriminant analysis using conventional well logs: A case study in A oilfield, Zagros Basin …

S Dong, L Zeng, X Du, J He, F Sun - Journal of Petroleum Science and …, 2022 - Elsevier
Lithofacies identification in carbonate reservoirs using conventional well logs is a typically
complex nonlinear problem due to influences of multiple factors, such as fluids and fractures …

Semi-supervised learning for lithology identification using Laplacian support vector machine

Z Li, Y Kang, D Feng, XM Wang, W Lv, J Chang… - Journal of Petroleum …, 2020 - Elsevier
Lithology identification is a fundamental task in well log interpretation. Considering the
presence of substantial unlabeled data in the field of petroleum exploration, this paper …

Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi …

ND Hoang, DT Bui - Bulletin of Engineering Geology and the Environment, 2018 - Springer
Assessment of the earthquake-induced liquefaction potential is a critical concern in design
processes of construction projects. This study proposes a novel soft computing model with a …

[HTML][HTML] Fracture identification and evaluation using conventional logs in tight sandstones: A case study in the Ordos Basin, China

S Dong, L Zeng, W Lyu, D Xia, G Liu, Y Wu, X Du - Energy Geoscience, 2020 - Elsevier
Fractures are of great significance to tight oil and gas development. Fracture identification
using conventional well logs is a feasible way to locate the underground fractures in tight …

Lithology identification using graph neural network in continental shale oil reservoirs: A case study in Mahu Sag, Junggar Basin, Western China

G Lu, L Zeng, S Dong, L Huang, G Liu… - Marine and Petroleum …, 2023 - Elsevier
The continental shale oil reservoir of Fengcheng Formation in the northern slope area of
Mahu Sag, Junggar Basin, Western China is very heterogeneous in lithology. Thus, the …

Research on lithology identification method based on mechanical specific energy principle and machine learning theory

H Liang, H Chen, J Guo, J Bai, Y Jiang - Expert Systems with Applications, 2022 - Elsevier
Lithology identification is an important part of petroleum drilling engineering. Accurate
identification of lithology is the foundation to ensure the smooth operation of drilling …