Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
Dynamic mesh optimisation for geothermal reservoir modelling
Modelling geothermal reservoirs is challenging due to the large domain and wide range of
length-and time-scales of interest. Attempting to represent all scales using a fixed …
length-and time-scales of interest. Attempting to represent all scales using a fixed …
[HTML][HTML] Modelling saline intrusion using dynamic mesh optimization with parallel processing
Saline intrusion (SI) in coastal aquifers is a global problem with the potential to contaminate
groundwater used by over a billion people. Numerical modelling of SI in coastal aquifers is a …
groundwater used by over a billion people. Numerical modelling of SI in coastal aquifers is a …
A Novel Hybrid Machine Learning Approach and Basin Modeling for Thermal Maturity Estimation of Source Rocks in Mandawa Basin, East Africa
CN Mkono, C Shen, AK Mulashani, MR Ngata… - Natural Resources …, 2024 - Springer
Basin modeling and thermal maturity estimation are crucial for understanding sedimentary
basin evolution and hydrocarbon potential. Assessing thermal maturity in the oil and gas …
basin evolution and hydrocarbon potential. Assessing thermal maturity in the oil and gas …
Refined implicit characterization of engineering geology with uncertainties: a divide-and-conquer tactic-based approach
In engineering geology, a reasonable assessment of the spatial distribution of uncertainty in
a region is vital in guiding research, saving money, and shortening the period. However, the …
a region is vital in guiding research, saving money, and shortening the period. However, the …
Neural spline flow multi-constraint NURBS method for three-dimensional automatic geological modeling with multiple constraints
M Lyu, B Ren, X Wang, J Wang, J Yu, S Han - Computational Geosciences, 2023 - Springer
The strike and the dip angle are vital for describing the geometry of the rock formations.
However, in the interpolation and geological modeling, only the coordinates are considered; …
However, in the interpolation and geological modeling, only the coordinates are considered; …
Addressing Configuration Uncertainty in Well Conditioning for a Rule-Based Model
O Ovanger, J Eidsvik, J Skauvold, R Hauge… - Mathematical …, 2024 - Springer
Rule-based reservoir models incorporate rules that mimic actual sediment deposition
processes for accurate representation of geological patterns of sediment accumulation …
processes for accurate representation of geological patterns of sediment accumulation …
Probabilistic reconstruction via machine-learning of the Po watershed aquifer system (Italy)
A machine-learning-based methodology is proposed to delineate the spatial distribution of
geomaterials across a large-scale three-dimensional subsurface system. The study area …
geomaterials across a large-scale three-dimensional subsurface system. The study area …
[HTML][HTML] Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
We introduce a novel method for estimating the spatial distribution of absolute permeability
in oil reservoirs, consistent with well logging and well test measurements. The primary …
in oil reservoirs, consistent with well logging and well test measurements. The primary …
[PDF][PDF] A novel surface-based approach to represent aquifer heterogeneity in sedimentary formations
L Schorpp, J Straubhaar, P Renard - Authorea Preprints, 2024 - researchgate.net
Sedimentary formations that compose most aquifers are difficult to model as a result of the
nature of their deposition. Their formation generally involves multiple processes (alluvial …
nature of their deposition. Their formation generally involves multiple processes (alluvial …