Machine learning assisted cement integrity evaluation during plugging and abandonment operations

IG Camerini, GRB Ferreira, LPB de Souza… - Abu Dhabi …, 2023 - onepetro.org
Due to the growth of Plugging and Abandonment operations, the challenges of assessing
the integrity of the cement layer and the quality of its bond to the casing and formation …

Automatic interpretation of oil and gas well cement evaluation logs using fuzzy convolutional neural networks

M Saleh Nezhad, G Akbarizadeh… - SPE Drilling & …, 2023 - onepetro.org
Cementing, as a common operation in well drilling and completions, requires accurate
calculations and feasible studies. High-quality well cementing is necessary to achieve …

Automatic Interpretation of Oil and Gas Well Cement Evaluation Logs Using Fuzzy Convolutional Neural Networks

MS Nezhad, G Akbarizadeh, YS Kavian… - SPE Drill & …, 2023 - onepetro.org
Cementing, as a common operation in well drilling and completions, requires accurate
calculations and feasible studies. High-quality well cementing is necessary to achieve …

HOG-CNN based evaluation of cement integrity using 2D dispersion curves from an experimental through tubing logging setup

T de Magalhães Correia, LPB de Souza… - Geoenergy Science and …, 2024 - Elsevier
In oil wells, adequate cementation is essential to guarantee that the well has support for the
casing and is able to isolate the well from groundwater. Operations known as Plugging & …

Cementing Quality Prediction in the Shunbei Block Based on Genetic Algorithm and Support Vector Regression

J Wei, S Zheng, J Han, K Bai - Applied Sciences, 2023 - mdpi.com
There are a number of factors that can affect the quality of cementing, and they constrain
each other. Current cementing quality prediction methods are still in the stage of …

Supervised Machine Learning Applied to Cement Integrity Assessment–A Comparison Between Models and Feature Extraction Techniques

GRB Ferreira, IG Camerini, AS Rodrigues… - SPE/IADC Drilling …, 2024 - onepetro.org
The analysis of the interpretation of the integrity of the bond of the cement layer between the
casing and the formation in oil wells has grown significantly as plugging and Abandonment …

Identifying Trends and Predicting Mechanical Properties in Large Scale Cement Datasets with Machine Learning

JJ Abraham, C Devers, A Carvero… - SPE EOR Conference …, 2024 - onepetro.org
With the growing demands of challenging well construction operations in the oil and gas
industry, cementing operations have become increasingly important. While oilwell cement …

Machine Learning Cement Quality Risk Assessment

M Salehabadi, MA Mohamad Yakup… - Offshore Technology …, 2024 - onepetro.org
One of the key elements of well abandonment process is the restoration of regional cap
rocks, typically achieved by understanding of quality of cement behind casing by means of …

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 …

Auto-identification and real-time warning method of multiple type events during multistage horizontal well fracturing

M Zhao, Y Li, Y Liu, B Yuan, S Meng… - … Conference, 13–15 …, 2023 - library.seg.org
It is very common to observe various stages and events during multi-stage horizontal well
fracturing, and the complex shapes of fracturing curves caused by reservoir heterogeneity …