Machine Learning-Based Drilling System Recommender: Towards Optimal BHA and Fluid Technology Selection

G Skoff, F Mahfoudh, C Jeong… - SPE/IADC Drilling …, 2023 - onepetro.org
The energy industry is undergoing a digital transformation, whose goals include increased
operational efficiency and reduced energy extraction costs. Data science and machine …

Drilling Fluids Profiling—Is Your Mud Right for the Job?

J Whyte, S Makarychev-Mikhailov… - SPE/IADC Drilling …, 2022 - onepetro.org
Drilling fluids are tested daily with many properties recorded to ensure that drilling
operations are performed with the highest possible efficiency and in compliance with …

Improving Drilling Efficiency Using Intelligent Decision System for Drilling in Bohai Oilfield Based on Big Data

T Xie, X Hou, H Huo, H Lin, R He, D Xu… - SPE Asia Pacific Oil …, 2023 - onepetro.org
Making use of data generated from drilling process are challenging in oil industry, an
intelligent decision system for drilling based on big data has been established to improve …

[PDF][PDF] Drilling Fluids Recommender System—Artificial Intelligence in Action

O Petryshak, S Makarychev-Mikhailov… - AADE Fluids Technical …, 2022 - aade.org
In the current drilling fluid selection process, engineers often decide on a fluid subjectively,
based on customer requirements, local practices and regulations, products availability, and …

Apples to Apples: Impartial Assessment of Drilling Technologies Through Big Data and Machine Learning

D Khvostichenko, G Skoff, Y Arevalo… - SPE/IADC Drilling …, 2023 - onepetro.org
Ensuring a proper apple to apple comparison is a challenge in drilling performance
evaluation. When assessing the effect of a particular drilling technology, such as bit …