Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …

Modelling time series of groundwater levels is investigated by three fuzzy logic (FL) models,
Sugeno (SFL), Mamdani (MFL) and Larsen (LFL), using data from observation wells. One …

Vulnerability indices of an aquifer assessed by different fuzzy logic (FL) models often give
rise to differing values with no theoretical or empirical basis to establish a validated baseline …

An investigation is presented in this paper to study the performance of Artificial Intelligence
running Multiple Models (AIMM) using time series of river flows. This is a modelling strategy …

Measurement of compressional, shear, and Stoneley wave velocities, carried out by dipole
sonic imager (DSI) logs, provides invaluable data in geophysical interpretation …

Driven by contamination risks, map** Vulnerability Indices (VI) of multiple aquifers (both
unconfined and confined) is investigated by integrating the basic DRASTIC framework with …

With the emerge of Artificial Intelligence and Machin learning systems, the petroleum
industry has witnessed a significant progress in its different disciplines to optimize decision …

Porosity and fluid saturation distributions are crucial properties of hydrocarbon reservoirs
and are involved in almost all calculations related to reservoir and production. True …

Aquifer vulnerability map** to pollution is topical research activity, and common
frameworks such as the basic DRASTIC framework (BDF) suffer from the inherent …

Fractures as the most common and important geological features have a significant share in
reservoir fluid flow. Therefore, fracture detection is one of the important steps in fractured …