Results 121 to 130 of about 1,086 (169)

Estimating spatial distributions of heterogeneous subsurface characteristics by regionalized classification of electrofacies

Mathematical Geosciences, 1995
Regionalized classification of electrofacies utilizes the statistical relationships between laboratory determined hydrologic properties and field-measured geophysical properties to estimate spatial distributions of porosity, permeability, and diagenetic characteristics. The method, illustrated with an application to the St.
Gerilynn R. Moline, Jean M. Bahr
exaly   +2 more sources

Electrofacies analysis for coal lithotype profiling based on high-resolution wireline log data

Computers and Geosciences, 2016
The traditional approach to coal lithotype analysis is based on a visual characterisation of coal in core, mine or outcrop exposures. As not all wells are fully cored, the petroleum and coal mining industries increasingly use geophysical wireline logs for lithology interpretation.This study demonstrates a method for interpreting coal lithotypes from ...
Roslin, A., Esterle, J. S.
exaly   +3 more sources

Electrofacies Based on Piecewise Log Trends

Proceedings, 2014
A new method allows to partition any log section into piecewise trends. The boundaries between the sub-intervals are assigned dynamically, based on best-fit criteria of consecutive samples of a facies-sensitive log like Vshale. This allows the assignment of an electro-facies which is based not only on the values of the log curves, but also on their ...
R. Ramberger, C. Steiner-Luckabauer, C. Cubitt   +2 more
openaire   +1 more source

Unsupervised identification of electrofacies employing machine learning

Proceedings, 2017
Machine learning techniques are widely used in petrophysicics and geophysics to solve complex and non-linear problems of practical importance. In particular, numerous applications for identifying electrofacies from well logs have been conducted. However, there is no unique approach for reliable automatic classification of electrofacies as the accuracy ...
I. Emelyanova, M. Pervukhina, M. Clennell, C. Dyt   +3 more
openaire   +1 more source

Modeling Hydrocarbon Bearing Reservoirs Using Fuzzy SVR and Electrofacies Analysis

NSG2021 27th European Meeting of Environmental and Engineering Geophysics, 2021
Summary Permeability is one of the key petrophysical parameters of hydrocarbon bearing formations. One of the crucial roles of this parameter is to estimate production rate in oil bearing reservoirs. Permeability is usually measured by core plugs in laboratory.
N. Moosavi, M. Bagheri
openaire   +1 more source

Maximum Autocorrelation Factors applied to electrofacies classification

SEG Technical Program Expanded Abstracts 2010, 2010
A vast amount of data is obtained during the development of a petroleum field. Seismic data, well logs, core and production data, all contribute to a better reservoir characterization and modeling. Several methods of multivariate data analysis can be used to support its interpretation, helping in important tasks as the identification of lithological ...
Rodrigo Duarte Drummond, Alexandre Campane Vidal, Juliana Finoto Bueno, Emilson Pereira Leite   +3 more
openaire   +1 more source

Improved Reservoir Characterization using Petrophysical Classifiers within Electrofacies

SPE Improved Oil Recovery Symposium, 2012
Abstract Estimation of permeability in a reservoir is necessary for simulation of production history. In mature fields, cores are limited so estimation of permeability is usually done from permeability-porosity correlations developed from cored wells. In this paper, a methodology is presented to predict permeability from well logs.
Woan Jing Teh, G Paul Willhite, John H. Doveton   +2 more
openaire   +1 more source

Electrofacies classification using Supervised learning algorithms

First EAGE Conference on Machine Learning in Americas, 2020
Summary The aim of this paper is to present a simple but effective workflow to classify depositional facies using conventional well logging data and supervised learning algorithms. Facies recognition is a time-consuming task and economically expensive.
openaire   +1 more source

Electrofacies Characterization and Permeability Predictions in Complex Reservoirs

SPE Reservoir Evaluation & Engineering, 2002
Summary We propose a two-step approach to permeability prediction from well logs that uses nonparametric regression in conjunction with multivariate statistical analysis. First, we classify the well-log data into electrofacies types.
Sang Heon Lee, Arun Kharghoria, Akhil Datta-Gupta   +2 more
openaire   +1 more source

Adaptive multi-resolution graph-based clustering algorithm for electrofacies analysis

Applied Geophysics, 2020
Logging facies analysis is a significant aspect of reservoir description. In particular, as a commonly used method for logging facies identification, Multi-Resolution Graph-based Clustering (MRGC) can perform depth analysis on multidimensional logging curves to predict logging facies.
Hongliang Wu, Chen Wang, Zhou Feng, Ye Yuan, Hua-Feng Wang, Bin-Sen Xu   +5 more
openaire   +1 more source