[HTML][HTML] Prediction of drilling fluid lost-circulation zone based on deep learning

Y Kang, C Ma, C Xu, L You, Z You - Energy, 2023 - Elsevier
Lost circulation has become a crucial technical problem that restricts the quality and
efficiency improvement of the drilling operation in deep oil and gas wells. The lost-circulation …

Intelligent decisions to stop or mitigate lost circulation based on machine learning

AK Abbas, AA Bashikh, H Abbas, HQ Mohammed - Energy, 2019 - Elsevier
Lost circulation is one of the frequent challenges encountered during the drilling of oil and
gas wells. It is detrimental because it can not only increase non-productive time and …

[HTML][HTML] Automated ph adjustment driven by robotic workflows and active machine learning

A Pomberger, N Jose, D Walz, J Meissner… - Chemical Engineering …, 2023 - Elsevier
Buffer solutions have tremendous importance in biological systems and in formulated
products. Whilst the pH response upon acid/base addition to a mixture containing a single …

Drilling rate of penetration prediction of high-angled wells using artificial neural networks

AK Abbas, S Rushdi, M Alsaba… - Journal of Energy …, 2019 - asmedigitalcollection.asme.org
Predicting the rate of penetration (ROP) is a significant factor in drilling optimization and
minimizing expensive drilling costs. However, due to the geological uncertainty and many …

A predictive control based on decentralized fuzzy inference for a pH neutralization process

H Wu, F Yan, G Wang, C Lv - Journal of Process Control, 2022 - Elsevier
In this paper a predictive control method based on decentralized fuzzy inference (DFIPC) is
proposed to deal with the problems of strong nonlinearity, large hysteresis and uncertainty in …

Kinetic Analysis of Gluconacetobacter diazotrophicus Cultivated on a Bench Scale: Modeling the Effect of pH and Design of a Sucrose-Based Medium

GM Restrepo, A Rincón, ÓJ Sánchez - Fermentation, 2023 - mdpi.com
Gluconacetobacter diazotrophicus is an endophytic bacterium that has shown important
plant growth-promoting properties. During the growth of G. diazotrophicus with high carbon …

Predictive controller applied to a pH neutralization process

L Estofanero, R Edwin, G Claudio - IFAC-PapersOnLine, 2019 - Elsevier
This paper reports the experimental results of a predictive controller applied to a pH
neutralization plant. A pretest was used to get an approximate transfer function (first order …

Proof-of-Concept Design of an In-Line pH Neutralization System with Coarse and Fine Adjustments for the Continuous Manufacturing of Pharmaceuticals

K Wen, C Hu, W Wu, K Shvedova… - … Process Research & …, 2021 - ACS Publications
In the continuous manufacturing of pharmaceuticals, in-line monitoring and control are
essential. Many pharmaceutical manufacturing processes require pH adjustment. Here, an …

A model free adaptive control method based on self-adjusting PID algorithm in pH neutralization process

K Liu, Y Fan, J Chen - Chinese Journal of Chemical Engineering, 2024 - Elsevier
In this paper, a new model free adaptive control method based on self-adjusting PID
algorithm (MFAC-SA-PID) is proposed to solve the problem that the pH process with strong …

Dual Heuristic Dynamic Programming in the Oil and Gas Industry for Trajectory Tracking Control

S Al-Dabooni, AA Tawiq, H Alshehab - SPE EOR Conference at Oil and …, 2022 - onepetro.org
This paper presents the state-of-the-art of the artificial intelligence algorithm, named dual
heuristic dynamic programming (DHP) that uses to solve the petroleum optimization-control …