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Determining a Flow Zone Indicator in Conventional and Unconventional Reservoirs Using Resistivity Logs

Day 2 Tue, March 21, 2023, 2023
AbstractThe Flow Zone Indicator (FZI) depends on permeability and porosity. The permeability of a reservoir is one of the most difficult properties to determine, since the models to calculate permeability use input from several logs (gamma ray, density-neutron, sonic, etc.).
José Wilfredo González   +4 more
exaly   +2 more sources

Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria

Arabian Journal of Geosciences, 2020
The study was carried out with the aim of predicting uncertainty using Sequential Indicator Simulation (SISIM) for lithofacies modelling, sequential Gaussian simulation (SGSIM) for reservoir property modelling and inferring the depositional environment using Flow Zone Indicator (FZI). Five well logs, core analysis data and 3D seismic data were used for
Hilary Terkula Jika   +3 more
exaly   +2 more sources

Hydraulic Unit Determination and Permeability Prediction Based On Flow Zone Indicator Using Cluster Analysis

SPE Latin America and Caribbean Petroleum Engineering Conference, 2014
Abstract Classical discrimination of petrophysical rock types is based on subjective geological observations and on empirical relationships between permeability and porosity data. The Hydraulic Unit approach is a methodology for classification of rock types and prediction of flow properties, based on flow zone indicator that incorporates
Cesar Aguilar   +2 more
exaly   +2 more sources

Determination of Reservoir Permeability Based on Irreducible Water Saturation and Porosity from Log Data and FZI (Flow Zone Indicator) from Core Data

International Petroleum Technology Conference, 2014
Abstract The Flow Zone Indicator (FZI) core analysis method is an accurate approach for defining different Hydraulic Units (HUs) in a well with core data, and finding accurate k-f relations for each HU according to k = Cn fxn.
M. Fazel Alavi   +2 more
exaly   +3 more sources

Flow Zone Indicator Estimation Based on Petrophysical Studies Using an Artificial Neural Network in a Southern Iran Reservoir

Petroleum Science and Technology, 2013
Porosity is a volumetric parameter whereas permeability is a measure of a rock's flow properties and depends on pore distribution and connectivity. Thus zonation of a reservoir using flow zone indicator (FZI) can be used to evaluate reservoir quality based on porosity-permeability relationships.
exaly   +2 more sources

Clustering Analysis and Flow Zone Indicator for Electrofacies Characterization in the Upper Shale Member in Luhais Oil Field, Southern Iraq

Abu Dhabi International Petroleum Exhibition & Conference, 2019
Abstract Electrofacies identification is a crucial procedure in reservoir characterization especially in the lack of lithofacies measurements from core analysis. Electrofacies classification is essential to improve permeability-porosity relationships in non-cored intervals.
Mohammed A Abbas, Erfan M Al Lawe
exaly   +2 more sources

OPTIMAL INTERRELATION OF HYDROLOGICAL AND METEOROLOGICAL INDICATORS OF RIVERS FLOWING IN ZONES OF HETEROGENEOUS HYDROGRAPHIC LANDSCAPE

TRANSBAIKAL STATE UNIVERSITY JOURNAL, 2021
The article is devoted to a model study of the optimal relationship between hydrological and meteorological indicators of rivers flowing in zones with a variable hydrographic landscape. The aim of the work is to scientifically substantiate the conditions for achieving the extreme hydrometeorological indicators of river water flows in the studied ...
G. Hajiyev, R Eminov
openaire   +1 more source

Mineralized Microbiota: A Possible Indicator of Hydrocarbon Flows in the Rift Zone of Iceland

Lithology and Mineral Resources, 2003
Relationships of mineralized microbiota with the content of polycyclic aromatic hydrocarbons in hydrothermal systems are considered. It has been established that the mineralized microbiota can serve as an indicator of hydrothermal hydrocarbon flows in present-day and ancient deposits.
A. P. Geptner   +4 more
openaire   +1 more source

Permeability Prediction Using Genetic Unit Averages of Flow Zone Indicators (FZIs) and Neural Networks

Nigeria Annual International Conference and Exhibition, 2005
Abstract A significant improvement in the prediction of permeability from wireline logs has been achieved for the Niger Delta reservoirs using the concept of Flow Zone Indicators (developed by Amaefule et al) based on genetic unit classification as well as the application of neural networks.
C.I. Uguru   +4 more
openaire   +1 more source

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