Addressing diverse petroleum industry problems using machine learning techniques: literary methodology─ spotlight on predicting well integrity failures
Artificial intelligence (AI) and machine learning (ML) are transforming industries, where low-
cost, big data can utilize computing power to optimize system performance. Oil and gas …
cost, big data can utilize computing power to optimize system performance. Oil and gas …
An intelligent data driven approach for production prediction
CI Noshi, MR Eissa, RM Abdalla - Offshore Technology Conference, 2019 - onepetro.org
The objective of this work is to further explore the potential application of Machine Learning
algorithms in production prediction and ultimate recovery. Intelligent Machine Learning …
algorithms in production prediction and ultimate recovery. Intelligent Machine Learning …
Application of data science and machine learning algorithms for ROP optimization in West Texas: turning data into knowledge
CI Noshi - Offshore Technology Conference, 2019 - onepetro.org
A high rate of penetration (ROP) is considered one of the most sought-after targets when
drilling a well. While physics-based models determine the importance of drilling parameters …
drilling a well. While physics-based models determine the importance of drilling parameters …
Data mining approaches for casing failure prediction and prevention
Recent casing failures in the Granite Wash play in the western Anadarko Basin have
sparked deep concerns to operators in North Texas and Oklahoma. Hydrostatic tests made …
sparked deep concerns to operators in North Texas and Oklahoma. Hydrostatic tests made …
A Machine Learning Method for the Risk Prediction of Casing Damage and Its Application in Waterflooding
J Zhang, L Wu, D Jia, L Wang, J Chang, X Li, L Cui… - Sustainability, 2022 - mdpi.com
During the development of oilfields, casings in long-term service tend to be damaged to
different degrees, leading to poor development of the oilfields, ineffective water circulation …
different degrees, leading to poor development of the oilfields, ineffective water circulation …
Development of an Artificial Intelligence-Based Well Integrity Monitoring Solution
P Aditama, T Koziol, DM Dillen - Abu Dhabi International Petroleum …, 2022 - onepetro.org
The question of how to safeguard well integrity is one of the most important problems faced
by oil and gas companies today. With the rise of Artificial Intelligence (AI) and Machine …
by oil and gas companies today. With the rise of Artificial Intelligence (AI) and Machine …
Casing Damage Prediction Model Based on the Data‐Driven Method
C Tan, W Yan, Q Tang, H Wu, H Bu… - Mathematical …, 2020 - Wiley Online Library
Casing damage caused by sand production in unconsolidated sandstone reservoirs often
results in oil wells unable to produce normally. However, due to the complex mechanism of …
results in oil wells unable to produce normally. However, due to the complex mechanism of …
Reduction of Casing Failure Risk via SMART Adjustment of Casing Design and/or Downhole Practices
Casing failure incidents have been on the rise since the 70's. An alarming rate of up to 50%
of offshore wells in GOM have experienced some degree of casing failure, not to mention …
of offshore wells in GOM have experienced some degree of casing failure, not to mention …
Application of machine learning algorithms for managing well integrity in gas lift wells
AMS Ragab, MS Yakoot, O Mahmoud - SPE Asia Pacific Oil and Gas …, 2021 - onepetro.org
Well integrity (WI) impairments in oil and gas (O&G) wells are one of the most formidable
challenges in the petroleum industry. Managing WI for different groups of well services …
challenges in the petroleum industry. Managing WI for different groups of well services …
Casing string fatigue: No more
Casing strings are an indispensable component in the design of any well and serve
numerous purposes in oil and gas wells, constituting 20-30% of the total well cost. An …
numerous purposes in oil and gas wells, constituting 20-30% of the total well cost. An …