A survey on industry 4.0 for the oil and gas industry: upstream sector

O Elijah, PA Ling, SKA Rahim, TK Geok, A Arsad… - IEEE …, 2021 - ieeexplore.ieee.org
The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …

Application of machine learning methods in modeling the loss of circulation rate while drilling operation

A Alsaihati, M Abughaban, S Elkatatny, DA Shehri - ACS omega, 2022 - ACS Publications
Fluid losses into formations are a common operational issue that is frequently encountered
when drilling across naturally or induced fractured formations. This could pose significant …

Bi-Directional Long Short-Term Memory Variational Autoencoder for Real-Time Bit-Wear Estimation

TP Luu, JAR Bomidi, A Magana-Mora… - SPE Asia Pacific Oil …, 2021 - onepetro.org
Drilling operations rely on learned expertise in monitoring the drilling performance data and
the rock data to assess the dull condition of the drill bit. While human learning can …

[HTML][HTML] Automated well control: A step change in safety

B Atchison - Digital Chemical Engineering, 2022 - Elsevier
In the oil and gas industry, the operation of drilling is a process which has been manually
controlled. Well control is a safety critical function, and it is used to enable safe management …

Quantitative Evaluation of Pre-Drilling Safety by Combining Analytic Hierarchy Process with Alternating Condition Expectation

K Fan, S Sun, H Yu, W Sun, H Lin, C Wang, S Hou… - Processes, 2024 - mdpi.com
In order to avoid potential personnel and financial losses, the evaluation of pre-drilling safety
is of great importance in oil and gas exploration and development. This paper presents a …

[HTML][HTML] Advances in Well Control: Early Kick Detection and Automated Control Systems

O Olamigoke, I James - Drilling Engineering and Technology …, 2022 - intechopen.com
The devastating impact of the Macondo blowout incident has underscored the need for
effective well barriers, early kick detection systems, and increased automation of well-control …

Autonomous viscosity/density sensing system for drilling edge-computing system

M Gonzalez, R Adams, T Thiel, C Gooneratne… - International …, 2022 - onepetro.org
Current mud monitoring practices are limited due to their reliance on manual measurements
such as funnel viscometers, weight balances, or basic field rheometers. These manual …

Cuttings Return Analysis by Visual Imaging: Novel Technology to Support Drilling Automation

CD Grossi, YH Hummels, LAC Meleiros… - SPE/IADC Drilling …, 2023 - onepetro.org
In recent years, image acquisition of process variables has become a common practice as
an essential monitoring tool for industrial systems. The rise of data analysis models and high …

Mixed methods approach for secondary data using survey reports from an exploration industry database

R Bond - 2023 - zone.biblio.laurentian.ca
The rich information acquired from incident and near miss reporting has been studied within
high-risk industries and such industries have used statistics acquired from past incident …

A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments

DA Guerra-Zubiaga, MC dos Santos, RC Voicu… - 2023 - researchsquare.com
The manufacturing industry recognizes drilling operations as a significant portion of
production, often accounting for a substantial part of overall costs. In the transformative wave …