Enhancing hydraulic fracturing efficiency through machine learning
Abstract Hydraulic fracturing (HF) is a technique employed in the oil and gas industry to extract hydrocarbon resources from shale formations and low-permeability rocks. This process involves the creation of new fractures and the extension of existing ones within the rock by injecting a high-pressur...
Saved in:
Main Authors: | Ali Karami, Ali Akbari, Yousef Kazemzadeh, Hamed Nikravesh |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
|
Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13202-024-01914-4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ELECTRONIC NOSE UNTUK SKRINING PENYAKIT DIABETES MELLITUS MENGGUNAKAN K-NEAREST NEIGHBOR DAN LARIK SENSOR
by: Pipit Puji Arti, et al.
Published: (2024-08-01) -
Estimation of the Ultimate Bearing Capacity of the Rocks via Utilization of the AI-Based Frameworks
by: Bianca Damico, et al.
Published: (2024-12-01) -
Hydraulic fracture propagation characteristics of directional perforation fracturing in horizontal wells for deep coalbed methane
by: Shuxin HUANG, et al.
Published: (2025-01-01) -
Civil Engineering Hydraulics : Essential Theory with Worked Examples /
by: Featherstone, R. E.
Published: (1995) -
Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods
by: Ali Akbari, et al.
Published: (2025-02-01)