Prediction of the shale gas permeability: A data mining approach
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2023/03/01
-
Indian UGC (journal)
-
Refrences55
-
Citations22
-
Zhiming Chao
-
Yabin Dang
-
Yue Pan
-
Feiyang Wang
-
Meng Wang
-
Jiao Zhang
-
Chuanxin Yang
Cite
Chao, Zhiming, et al. “Prediction of the Shale Gas Permeability: A Data Mining Approach”. Geomechanics for Energy and the Environment, vol. 33, 2023, p. 100435, https://doi.org/10.1016/j.gete.2023.100435.
Chao, Z., Dang, Y., Pan, Y., Wang, F., Wang, M., Zhang, J., & Yang, C. (2023). Prediction of the shale gas permeability: A data mining approach. Geomechanics for Energy and the Environment, 33, 100435. https://doi.org/10.1016/j.gete.2023.100435
Chao, Zhiming, Yabin Dang, Yue Pan, Feiyang Wang, Meng Wang, Jiao Zhang, and Chuanxin Yang. “Prediction of the Shale Gas Permeability: A Data Mining Approach”. Geomechanics for Energy and the Environment 33 (2023): 100435. https://doi.org/10.1016/j.gete.2023.100435.
Chao Z, Dang Y, Pan Y, Wang F, Wang M, Zhang J, et al. Prediction of the shale gas permeability: A data mining approach. Geomechanics for Energy and the Environment. 2023;33:100435.
Journal Categories
Science
Geology
Science
Geology
Mineralogy
Science
Geology
Petrology
Social Sciences
Industries
Land use
Labor
Special industries and trades
Energy industries
Energy policy
Fuel trade
Technology
Engineering (General)
Civil engineering (General)
Engineering geology
Rock mechanics
Soil mechanics
Underground construction
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Artificial intelligence algorithms for predicting peak shear strength of clayey soil-geomembrane interfaces and experimental validation | Geotextiles and Geomembranes |
| 16 | 2023 |
| The short-term and creep mechanical behaviour of clayey soil-geocomposite drainage layer interfaces subjected to environmental loadings | Geotextiles and Geomembranes |
| 7 | 2022 |
| Probabilistic characteristics analysis for the time-dependent deformation of clay soils due to spatial variability | European Journal of Environmental and Civil Engineering |
| 10 | 2022 |
| Investigating low-permeability sandstone based on physical experiments and predictive modeling | Underground Space | 9 | 2021 | |
| Research on anisotropic permeability and porosity of columnar jointed rock masses during cyclic loading and unloading based on physical model experiments | Bulletin of Engineering Geology and the Environment |
| 19 | 2020 |
Refrences Analysis
The category
Science: Geology 52
is the most frequently represented among the references in this article. It primarily includes studies from Geomechanics for Energy and the Environment The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| An artificial intelligence optimization method of back analysis of unsteady-steady seepage field for the dam site under complex geological condition | Bulletin of Engineering Geology and the Environment |
| 2024 | |
| Reservoir basin characterization using one-dimensional (1D) mechanical earth modeling (MEM) for wellbore stability (WBS) analysis | Modeling Earth Systems and Environment |
| 2024 | |
| Permeability and porosity of light-weight concrete with plastic waste aggregate: Experimental study and machine learning modelling | Construction and Building Materials |
| 7 | 2024 |
Occupational health risk assessment of PC production-caused pollution based on damage assessment and cyclic mitigation model | Engineering Construction and Architectural Management |
| 2024 | |
Study of the Dynamic Failure Characteristics of Anisotropic Shales Under Impact Brazilian Splitting | Rock Mechanics and Rock Engineering |
| 1 | 2023 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 9
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Study of the Dynamic Failure Characteristics of Anisotropic Shales Under Impact Brazilian Splitting and was published in 2023. The most recent citation comes from a 2024 study titled An artificial intelligence optimization method of back analysis of unsteady-steady seepage field for the dam site under complex geological condition. This article reached its peak citation in 2023, with 18 citations. It has been cited in 18 different journals, 11% of which are open access. Among related journals, the Materials cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.