Abstract Groundwater-flow models require the spatial distribution of hydraulic conductivity parameter. One approach to defining this in groundwater-flow model grids is map electrical resistivity by airborne electromagnetic (AEM) survey and establish a petrophysical relation between mean calculated as nonlinear function layering thicknesses layers aquifer transmissivity compiled from historical ...

Abstract. The quantitative integration of geophysical measurements with data and information from other disciplines is becoming increasingly important in answering the challenges undercover imaging modelling complex areas. We propose a review different techniques for utilisation structural, petrophysical, geological single physics joint inversion as implemented Tomofast-x open-source platform. ...

Piton de la Fournaise (PdF) is a basaltic volcano whose activity characterized by effusive to mildly explosive eruptions. The geologic record preserves evidence of eruptions associated with the seaward sliding steep east flank. Such formed calderas that are several km in diameter and their products have been emplaced as breccias. breccias PdF offer opportunity sample wide range different lithol...

Fracture connectivity within fractured granitic basement geothermal reservoirs is an important factor controlling their permeability. This study aims to improve the understanding of fluid–rock interaction processes at low moderate regional strain. The Noble Hills range (Death Valley, CA, USA) was chosen as a naturally exhumed paleo reservoir. A series petrographic, petrophysical, and geochemica...

Optimization of reservoir parameters is an important issue in petroleum exploration and production. The Ant Colony Optimization(ACO) is a recent approach to solve discrete and continuous optimization problems. In this paper, the Ant Colony Optimization is usedas an intelligent tool to estimate reservoir rock properties. The methodology is illustrated by using a case study on shear wave velocity...

Geostatistical modeling of petrophysical properties is a key step in modern integrated oil and gas reservoir studies. Recently, generative adversarial networks (GAN) have been shown to be a successful method for generating unconditional simulations of poreand reservoir-scale models. This contribution leverages the differentiable nature of neural networks to extend GANs to the conditional simula...