Results 91 to 100 of about 507 (124)

Electrofacies classification of deeply buried carbonate strata using machine learning methods: A case study on ordovician paleokarst reservoirs in Tarim Basin

Marine and Petroleum Geology, 2021
Abstract The paleokarst system is one of the main carbonate reservoirs, which can form important super-large oil fields. There are many typical paleokarst reservoirs in the Tarim Basin Ordovician strata, mainly composed of caves, vugs, and fractures.
Wenhao Zheng, Fei Tian, Qingyun Di, Wei Xin, Fuqi Cheng, Xiaocai Shan   +5 more
openaire   +3 more sources

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

Mathematical Geology, 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
openaire   +3 more sources

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

FUZZY PARTITIONING SYSTEMS FOR ELECTROFACIES CLASSIFICATION: A CASE STUDY FROM THE MARACAIBO BASIN

Journal of Petroleum Geology, 2001
This paper describes a method of advanced data processing for the inverse problem of lithofacies prediction from well logs using fuzzy partitioning systems. A fuzzy partitioning system consists of a set of fuzzy If‐Then rules of the form “If bulk density (pb) is low and neutron porosity (øCNL) is high Then classify pattern x=(pbøCNL) as Fades Fi”.
Finol, J.J., Guo, Y.K., Jing, X.D.
openaire   +2 more sources

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

Improving Permeability and Productivity Estimation with Electrofacies Classification and Core Data Collected in Multiple Oilfields

Offshore Technology Conference, 2019
Abstract In the industry, it is a common practice to estimate continuous permeability by establishing a porosity-permeability relationship (poroperm) from conventional core analysis. For each new oilfield, core data is required to build a permeability model for this particular field.
Xinlei Shi, Hongbing Chen, Ruijuan Li, Xiaoyan Yang, Huan Liu, Ting Li   +5 more
openaire   +1 more source

The Role of Electrofacies, Lithofacies, and Hydraulic Flow Units in Permeability Predictions from Well Logs: A Comparative Analysis Using Classification Trees

Proceedings of SPE Annual Technical Conference and Exhibition, 2003
Summary Predicting permeability from well logs typically involves classification of the well-log response into relatively homogeneous subgroups based on electrofacies, Lithofacies, or hydraulic flow units (HFUs). The electrofacies-based classification involves identifying clusters in the well-log response that reflect "similar" minerals ...
Hector H. Perez, Akhil Datta-Gupta, S. Mishra   +2 more
openaire   +1 more source

The Machine Learning's Classification Methods Comparison to Estimate Electrofacies Type, Lithology and Hydrocarbon Fluids from Geophysical Well Log Data

Proc of the Indonesian Petroleum Association 44th Annual Convention and Exhibition, 2021
Supervised learning methods from machine learning are starting to be widely used in oil & gas data management. The usage of the method is adjusted to the purpose of data processing, including data classification and regression. In this research, there are six classification methods to estimate the electrofacies shape, lithology type, and fluids ...
openaire   +1 more source

Advanced Supervised Machine Learning Algorithms for Efficient Electrofacies Classification of a Carbonate Reservoir in a Giant Southern Iraqi Oil Field

Offshore Technology Conference, 2020
Abstract Understanding the vertical discrete electrofacies distributions in wells is a vital step to preserve the reservoir heterogeneity. Predicting the electrofacies distribution at all wells is commonly conducted manually or with the use of some graphing approaches, but recently different machine learning techniques have been adopted ...
openaire   +1 more source

Cluster analysis using unsupervised algorithms for electrofacies classification in the Ariri Formation, Santos Basin

Rio Oil and Gas Expo and Conference, 2022
Cleyton de Carvalho Carneiro, Felipe Ferreira Luiz Gorla   +1 more
openaire   +1 more source