[HTML][HTML] Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …
implementing most mathematical models of petroleum engineering geomechanics …
[HTML][HTML] Enhancing wettability prediction in the presence of organics for hydrogen geo-storage through data-driven machine learning modeling of rock/H2/brine …
The success of geological H 2 storage relies significantly on rock–H 2–brine interactions
and wettability. Experimentally assessing the H 2 wettability of storage/caprocks as a …
and wettability. Experimentally assessing the H 2 wettability of storage/caprocks as a …
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 …
Enhancing Fracturing Fluid Viscosity in High Salinity Water: A Data-Driven Approach for Prediction and Optimization
Optimizing fracture fluid viscosity in a high salinity medium (ie, seawater and produced
water) is challenging. Hence, we conducted numerous rheology experiments utilizing an …
water) is challenging. Hence, we conducted numerous rheology experiments utilizing an …
Machine learning approach to predict the dynamic linear swelling of shales treated with different waterbased drilling fluids
Oil and gas drilling contractors face many challenges during drilling, mainly related to
wellbore instability. The water-based drilling fluids (WBDFs) are mixed with various swelling …
wellbore instability. The water-based drilling fluids (WBDFs) are mixed with various swelling …
Research Advances in Machine Learning Techniques in Gas Hydrate Applications
The complex modeling accuracy of gas hydrate models has been recently improved owing
to the existence of data for machine learning tools. In this review, we discuss most of the …
to the existence of data for machine learning tools. In this review, we discuss most of the …
[HTML][HTML] Machine learning techniques for soil characterization using cone penetration test data
AT Chala, RP Ray - Applied Sciences, 2023 - mdpi.com
Seismic response assessment requires reliable information about subsurface conditions,
including soil shear wave velocity (V s). To properly assess seismic response, engineers …
including soil shear wave velocity (V s). To properly assess seismic response, engineers …
Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling
The effect of natural fractures, their orientation, and their interaction with hydraulic fractures
on the extraction of heat and the extension of injection fluid are fully examined. A fully …
on the extraction of heat and the extension of injection fluid are fully examined. A fully …
An improved integration strategy for prediction of shear wave velocity using petrophysical logs: Integration of spatiotemporal and small sample nonlinear feature
J Yang, N Lin, K Zhang, L Jia, D Zhang - Geoenergy Science and …, 2023 - Elsevier
Shear wave velocity (Vs) plays an important role in seismic data inversion and accurately
determining petrophysical parameters. However, owing to the high acquisition cost of S …
determining petrophysical parameters. However, owing to the high acquisition cost of S …
[HTML][HTML] Determination and investigation of shear wave velocity based on one deep/machine learning technique
O Hazbeh, M Rajabi, S Tabasi, S Lajmorak… - Alexandria Engineering …, 2024 - Elsevier
Rock physics plays an important role in the oil, gas, and water industries by providing
essential data for reservoir management. This study focuses on predicting Shear Wave …
essential data for reservoir management. This study focuses on predicting Shear Wave …