[HTML][HTML] A systematic review of data science and machine learning applications to the oil and gas industry
This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …
different petroleum engineering and geosciences segments such as petroleum exploration …
Potential applications of nanomaterials in oil and gas well cementing: Current status, challenges and prospects
Well construction operation is a crucial process that relies on the success of cementing job.
Cementing failure could lead to catastrophic aftermaths and huge capital loss to the …
Cementing failure could lead to catastrophic aftermaths and huge capital loss to the …
Mechanical performance of oil-well cement slurries cured and tested under high-temperatures and high-pressures for deep-well applications
Abstract The American Petroleum Institute testing standard (API TR 10TR7) recommends
determining the mechanical performance of oil-well cement slurries in an ambient …
determining the mechanical performance of oil-well cement slurries in an ambient …
Spatial–temporal prediction of minerals dissolution and precipitation using deep learning techniques: An implication to Geological Carbon Sequestration
Abstract In Geological Carbon Sequestration (GCS), mineralization is a secure carbon
dioxide (CO 2) trapping mechanism to prevent possible leakage at a later stage of the GCS …
dioxide (CO 2) trapping mechanism to prevent possible leakage at a later stage of the GCS …
An advanced long short-term memory (LSTM) neural network method for predicting rate of penetration (ROP)
H Ji, Y Lou, S Cheng, Z Xie, L Zhu - ACS omega, 2022 - ACS Publications
Rate of penetration (ROP) is an essential factor in drilling optimization and reducing the
drilling cycle. Most of the traditional ROP prediction methods are based on building physical …
drilling cycle. Most of the traditional ROP prediction methods are based on building physical …
Review of Carbon dioxide utilization and sequestration in depleted oil reservoirs
Climate change resulting from human-induced CO 2 emissions is a critical global issue. To
address its severe consequences, it is essential to reduce CO 2 emissions and establish …
address its severe consequences, it is essential to reduce CO 2 emissions and establish …
Enhancement of cement properties by means of in situ grown nanoparticles
AG Mehairi, MM Husein - Construction and Building Materials, 2020 - Elsevier
Inclusion of nanoparticles (NPs) into oil field cement improves key cement properties.
Nevertheless, large-scale application of NPs suffers from high cost and lack of proper …
Nevertheless, large-scale application of NPs suffers from high cost and lack of proper …
Physics Informed Surrogate Model Development in Predicting Dynamic Temporal and Spatial Variations During CO2 Injection into Deep Saline Aquifers
Abstract Geological Carbon Sequestration (GCS) in deep geological formations, like saline
aquifers and depleted oil and gas reservoirs, brings enormous potential for large-scale …
aquifers and depleted oil and gas reservoirs, brings enormous potential for large-scale …
Antibiofilm and enhanced antibiotic delivery by halloysite nanotubes architected dental implant against periodontitis
S Mehnath, M Jeyaraj - Materials Chemistry and Physics, 2023 - Elsevier
Dental implant failure remains a predominant problem; poor integration and biofilm
formation are the major glitches. The surface modification of implant improves it antibiotic …
formation are the major glitches. The surface modification of implant improves it antibiotic …
Deep learning models for the prediction of mineral dissolution and precipitation during geological carbon sequestration
Abstract In Geological Carbon Sequestration (GCS), mineralization is a secure carbon
dioxide (CO2) trapping mechanism to prevent possible leakage at later stage of the GCS …
dioxide (CO2) trapping mechanism to prevent possible leakage at later stage of the GCS …