Application of enhanced oil recovery methods in unconventional reservoirs: A review and data analysis

M Elturki, A Imqam - ARMA US Rock Mechanics/Geomechanics …, 2020 - onepetro.org
Production from unconventional reservoirs using enhanced oil recovery (EOR) has gained
much attention in recent years due to its ability to dramatically increase oil recovery. This …

Small-sample production prediction of fractured wells using multitask learning

X Li, X Ma, F Xiao, C Xiao, F Wang, S Zhang - SPE Journal, 2022 - onepetro.org
Domestic and foreign scholars have conducted extensive research on applying machine
learning to post-fracture production prediction in recent decades and made great …

Descriptive Data Analytics for the Stimulation, Completion Activities, and Wells' Productivity in the Marcellus Shale Play

MA Al-Alwani, S Dunn-Norman, LK Britt… - … Brisbane, Australia, 18 …, 2020 - library.seg.org
Drilling, completion, and stimulation designs have changed over time as a result of the oil
and gas industry's ongoing efforts to increase well productivity. Over the last five years …

Production performance evaluation from stimulation and completion parameters in the permian basin: data mining approach

MA Al-Alwani, S Dunn-Norman, LK Britt… - … Brisbane, Australia, 18 …, 2020 - library.seg.org
Over the last decade, there have been numerous advancements in horizontal drilling
applications and in combination with hydraulic fracturing there has been a plethora of …

Data-Analytics Based Investigation of Controlling Parameters of CO2 Sequestration in Depleted Unconventional Reservoirs

HK Hassan Baabbad - 2021 - webthesis.biblio.polito.it
The Paris Agreement on climate change in 2015 changed the entire landscape of the oil and
gas industry. Fortunately, the oil and gas industry is the only industry in the world with the …

Predictive Analytics for Oil and Gas Asset Maintenance Using XGBoost Algorithm

N Aziz, MHA Abdullah, NA Osman, MN Musa… - … and Intelligent Systems, 2022 - Springer
One of the most important aspects of the oil and gas industry is asset management at their
respective platforms. Without proper asset management, it will lead to various unexpected …

Enhanced Oil Field Data-Wrangling using Machine Learning

J Andrews - 2024 - ttu-ir.tdl.org
Within every aspect of the petroleum industry, time is equivalent to money. Using time wisely
is critical to the success of a good operation, whether discovering new oil reserves …

Enhancing Drilling Operations and Management Through Digital Ecosystem

J Zhang, X He, Y Dai, J Wang, J Zhu - Abu Dhabi International …, 2023 - onepetro.org
The digitalization of the drilling process has revolutionized the oil and gas industry by
incorporating digital technologies and data analytics into drilling operations. This …

Modelling and Simulation of Acid Gas Absorption from Natural Gas by Amine Solution Using Aspen HYSYS

VK IKPEZE, JO OWOLABI, II OLATEJU… - SPE Nigeria Annual …, 2021 - onepetro.org
This work has been carried out to model and simulate a typical acid gas absorption process
using Aspen HYSYS process simulator. The chemical components involved in the process …

Predictive Analytics for Oil and Gas Asset Maintenance Using XGBoost Algorithm

MN Musa, EAP Akhir - 2020 - Springer
One of the most important aspects of the oil and gas industry is asset management at their
respective platforms. Without proper asset management, it will lead to various unexpected …