A review of predictive analytics in the exploration and management of us geological resources
MA Dada, JS Oliha, MT Majemite, A Obaigbena… - Engineering Science & …, 2024 - fepbl.com
In an era where technological advancements are reshaping the landscape of resource
management, this paper delves into the transformative role of predictive analytics in the …
management, this paper delves into the transformative role of predictive analytics in the …
A new ensemble machine-learning framework for searching sweet spots in shale reservoirs
Knowing the location of sweet spots benefits the horizontal well drilling and the selection of
perforation clusters. Generally, geoscientists determine sweet spots from the well-logging …
perforation clusters. Generally, geoscientists determine sweet spots from the well-logging …
Potential application of generative artificial intelligence and machine learning algorithm in oil and gas sector: Benefits and future prospects
With the rapid advancement of technology and societies, the global energy sector now
acknowledges that by integrating contemporary digital technologies into their operations …
acknowledges that by integrating contemporary digital technologies into their operations …
A new tool for searching sweet spots by using gradient boosting decision trees and generative adversarial networks
High-density completions prevail in shale oil formation in China due to the difficulty of
identifying the sweet spot with high accuracy. Knowing the location of sweet spots benefits …
identifying the sweet spot with high accuracy. Knowing the location of sweet spots benefits …
A data-driven decision support tool for offshore oil and gas decommissioning
A growing number of oil and gas offshore infrastructures across the globe are approaching
the end of their operational life. It is a major challenge for the industry to plan and make a …
the end of their operational life. It is a major challenge for the industry to plan and make a …
Applying random forest to oil and gas exploration in Central Sumatra basin Indonesia based on surface and subsurface data
Oil and gas exploration in Indonesia currently requires novel methods during the initial
screening of exploration areas that are effective, inexpensive, and utilize open data. This is …
screening of exploration areas that are effective, inexpensive, and utilize open data. This is …
Deep-learning-based prediction of post-fracturing permeability field for development strategy optimization in unconventional reservoirs
Capturing the detailed hydraulic fracture geometry and the associated post-fracturing
permeability field is key to well performance evaluation and development strategy …
permeability field is key to well performance evaluation and development strategy …
[图书][B] Hydrocarbon Seepage in the Gulf of Mexico: Machine Learning Approach to Hydrocarbon Exploration
E Antwi - 2021 - search.proquest.com
Abstract The Gulf of Mexico (GOM) basin is documented by researchers to hold a substantial
quantity of hydrocarbon seeps. The Bureau of Energy and Ocean Management (BOEM) has …
quantity of hydrocarbon seeps. The Bureau of Energy and Ocean Management (BOEM) has …
[PDF][PDF] E. Vital Brazil (IBM Research), R. Ferreira (IBM Research), V. Silva (IBM Research), L. Martins (IBM Research), C. Raoni (IBM Research), R. Cerqueira (IBM …
M Ramos, D Patrocinio, M Ferraz, DS Cersósimo - researchgate.net
Artificial Intelligence (AI) has been successfully adopted in many industries in recent years.
The results are encouraging, with AI being able to reduce costs and improve performance in …
The results are encouraging, with AI being able to reduce costs and improve performance in …
[PDF][PDF] A Systematic Survey of Semantic Web Technologies for Bias in Artificial Intelligence Solutions
Bias in artificial intelligence (AI) is a critical and timely issue due to its sociological, economic
and legal impact, as decisions made for humans by algorithms could lead to unfair treatment …
and legal impact, as decisions made for humans by algorithms could lead to unfair treatment …