Applications of underbalanced fishbone drilling for improved recovery and reduced carbon footprint in unconventional plays

H Ouadi, S Mishani, V Rasouli - Petroleum & Petrochemical …, 2023 - commons.und.edu
Abstract Fishbone Drilling (FbD) consists of drilling several micro-holes in different directions
from the main vertical or deviated wellbore. Similar to multilateral micro-hole drilling, FbD …

Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis

HF Al-Khafaji, Q Meng, W Hussain, RK Mohammed… - Fuel, 2023 - Elsevier
CO 2 injection for enhanced oil recovery (EOR) is widely recognized as an efficient
technique for carbon capture, utilization, and storage (CCUS). This operation has a …

Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO2-oil system in CO2-EOR projects

B Shen, S Yang, X Gao, S Li, K Yang, J Hu… - … Applications of Artificial …, 2023 - Elsevier
Carbon dioxide enhanced oil recovery (CO 2-EOR) is a promising application for carbon
capture, utilization and storage (CCUS). Accurate modeling of CO 2-oil minimum miscible …

Prediction of Key Parameters in the Design of CO2 Miscible Injection via the Application of Machine Learning Algorithms

M Hamadi, T El Mehadji, A Laalam, N Zeraibi… - Eng, 2023 - mdpi.com
The accurate determination of key parameters, including the CO2-hydrocarbon solubility
ratio (Rs), interfacial tension (IFT), and minimum miscibility pressure (MMP), is vital for the …

Determination of Gas–Oil minimum miscibility pressure for impure CO2 through optimized machine learning models

C Wu, L Jin, J Zhao, X Wan, T Jiang, K Ling - Geoenergy Science and …, 2024 - Elsevier
Minimum miscibility pressure (MMP) is one of the most important parameters for designing
CO 2 enhanced oil recovery (EOR) and associated storage in depleted oil reservoirs. The …

Utilizing artificial intelligence techniques for modeling minimum miscibility pressure in carbon capture and utilization processes: a comprehensive review and …

MN Amar, H Djema, K Ourabah, FM Alqahtani… - Energy & …, 2024 - ACS Publications
The carbon dioxide (CO2) based enhanced oil recovery methods (EORs) are considered
among the promising techniques for increasing the recovery factor from mature oil reservoirs …

Application of Machine Learning for Mineralogy Prediction from Well Logs in the Bakken Petroleum System

A Laalam, A Boualam, H Ouadi, S Djezzar… - SPE Annual Technical …, 2022 - onepetro.org
One of the significant unconventional oil reserves in the USA is the Bakken Petroleum
System located in the Williston Basin. It is known for its complex lithology, composed of three …

Effect of rock elastic anisotropy on hydraulic fracture containment in the bakken formation

HAK Chellal, A Merzoug, V Rasouli… - ARMA US Rock …, 2022 - onepetro.org
In this study, a special focus was dedicated to the effect of elastic anisotropy of shales on the
in-situ stress contrast between different layers and its implications on the vertical …

[HTML][HTML] Exploring the power of machine learning in analyzing the gas minimum miscibility pressure in hydrocarbons

M Rayhani, A Tatar, A Shokrollahi… - Geoenergy Science and …, 2023 - Elsevier
Abstract Minimum Miscibility Pressure (MMP) plays a crucial role in subsurface gas injection
processes. Hence, the accurate determination and analysis of the effective parameters on …

A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects

X Du, S Salasakar, G Thakur - Machine Learning and Knowledge …, 2024 - mdpi.com
This paper focuses on the current application of machine learning (ML) in enhanced oil
recovery (EOR) through CO2 injection, which exhibits promising economic and …