Table 1 Tools and data types used by researchers to estimate permeability.
From: Formation permeability estimation using mud loss data by deep learning
Item | Researcher | Tool(s) | Data type |
|---|---|---|---|
1 | Mohagueg et al.35 | Analytical, statistical, and computational tools | Well log data |
2 | Chehrazi and Rezaee36 | Analytical models, soft computing models, and porous phase models | Well log data |
3 | Rezaee et al.37 | ML techniques | Multiple wireline logs data |
4 | Tembely et al.38 | Machine and deep learning | Rock imaging data |
5 | Okon et al. 39 | ANN | Well log data |
6 | Yasin et al.40 | A joint reversal technique based on a multilayer linear calculator and particle swarm optimization algorithm | Seismic data |
7 | Anifowose et al.41 | ML techniques | Integrating seismic attributes and wireline data |
8 | Akande et al. 42 | Support vector machines | Well log data |
9 | Bruce et al. 43 | ANN | Wireline logs data |
10 | El Ouahed et al. 44 | Combining the ANN with fuzzy logic | Well log data |
11 | Al Khalifah et al.45 | ANN and genetic algorithm | Core data |
