[HTML][HTML] A Review of the Critical Conditions Required for Effective Hole Cleaning While Horizontal Drilling
Horizontal drilling has become increasingly prevalent in the oil and gas industry due to its
potential for enhanced reservoir recovery and reduced environmental impact. However …
potential for enhanced reservoir recovery and reduced environmental impact. However …
DEVELOPING A NEURAL NETWORK MODEL TO PREDICT THE OPTIMAL MINIMUM FLOW RATE FOR EFFECTIVE HOLE CLEANING.
D Delikesheva, E Essembayev… - Eastern-European …, 2024 - search.ebscohost.com
The object of the study is effective well cleaning during drilling. The subject of the study is
the development of a machine learning model based on a neural network for predicting the …
the development of a machine learning model based on a neural network for predicting the …
Analyzing the Transferability of Anomaly Detection Knowledge from Computer Science and Mathematics Publications to the Field of Oil and Gas Research
B Chigarev - 2023 - preprints.org
Anomaly detection in equipment processes plays an important role in the oil and gas sector.
Algorithms for detecting anomalies in measured data are best understood in computer …
Algorithms for detecting anomalies in measured data are best understood in computer …
Applicability of Anomaly Detection Knowledge from Computer Science and Mathematics Publications to Oil and Gas Research
BN Chigarev - Energy Systems Research, 2024 - esrj.ru
Anomaly detection in equipment processes is crucial for the oil and gas sector. Algorithms
for detecting anomalies in measured data are best understood in Computer Science and …
for detecting anomalies in measured data are best understood in Computer Science and …