Application of machine learning techniques for identifying productive zones in unconventional reservoir
Unconventional reservoirs are the productive zones in other words the rock quality and the mechanical properties of the rocks this process is devastating if humans or people try to search for the best reservoirs. So we can use machine learning (ML) algorithms to help us find and search easily and fa...
Main Authors: | Amir Gharavi, Mohamed Hassan, Jebraeel Gholinezhad, Hesam Ghoochaninejad, Hossein Barati, James Buick, Karrar A. Abbas |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-01-01
|
Series: | International Journal of Intelligent Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666603022000094 |
Similar Items
-
Unsupervised machine learning technique for classifying production zones in unconventional reservoirs
by: Karrar A. Abbas, et al.
Published: (2023-01-01) -
An Optimal House Price Prediction Algorithm: XGBoost
by: Hemlata Sharma, et al.
Published: (2024-01-01) -
Using Machine Learning Algorithms to Forecast the Sap Flow of Cherry Tomatoes in a Greenhouse
by: Amora Amir, et al.
Published: (2021-01-01) -
Exploratory Landscape Validation for Bayesian Optimization Algorithms
by: Taleh Agasiev, et al.
Published: (2024-01-01) -
Hyperparameter Optimization Using Iterative Decision Tree (IDT)
by: Narith Saum, et al.
Published: (2022-01-01)