Total organic carbon (TOC) is a critical parameter for source rock characterization in shale
gas reservoirs. In this work, the use of extreme learning machines (ELM) for predicting TOC …

Shear wave velocity is considered as one of the most important rock physical parameters
which can be measured by dipole sonic imager (DSI) tool. This parameter is applied to …

Accurately determining rock elastic modulus (EM) and uniaxial compressive strength (UCS)
using laboratory methods requires considerable time and cost. Hence, the development of …

Shear wave velocity is a critical parameter for the characterization of hydrocarbon reservoirs.
Compared with compressional wave velocity which almost exist in every well, shear wave …

Abstract Pressure–Volume–Temperature (PVT) characterization of a crude oil involves
establishing its bubble point pressure, which is the pressure at which the first gas bubble …

In this study, we present application of an artificial intelligence (AI) technique model called
dynamic evolving neural-fuzzy inference system (DENFIS) based on an evolving clustering …

Compressional and shear wave velocities (V p and V s respectively) are essential reservoir
parameters that can be used to delineate lithology, calculate porosity, identify reservoir …

The rate of penetration (ROP) is one of the vital parameters which directly affects the drilling
time and costs. There are various parameters that influence the drilling rate; they include …

This paper proposes multilayer perceptron neural network (MLPNN) to predict phycocyanin
(PC) pigment using water quality variables as predictor. In the proposed model, four water …

Abstract Knowledge about reservoir fluid properties such as bubble point pressure (P b)
plays a vital role in improving reliability of oil reservoir simulation. In this work, hybrid of …