Topic
Effective porosity
About: Effective porosity is a research topic. Over the lifetime, 1199 publications have been published within this topic receiving 26511 citations.
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2 citations
Journal Article•
TL;DR: In this article, a program for hand-carried calculators was developed for shaly gas sand crossplot analysis, which is capable of handling cases where the density porosity at the clay point is either positive or negative.
Abstract: A program for hand-carried calculators has been developed for shaly gas sand crossplot analysis. This program processes data obtained from a log suite consisting of FDC-CNL-GR and a deep-investigation resistivity log, and prints out values for effective porosity, shale content, and water saturation. The program uses an analytical method that describes the shaly-sand crossplot technique. This technique is capable of handling cases where the density porosity at the clay point is either positive or negative. The program executes the crossplot analysis accurately and quickly, taking less than 30 seconds for each data point.
2 citations
27 Sep 2020
TL;DR: In this paper, the results of digital 2D image analysis have been compared to laboratory core measurements to investigate the reliability and restrictions of the digital image interpretation techniques, and some pore void characteristics, such as area and perimeter, were calculated.
Abstract: The digital core analysis of petrophysical properties replace the use of conventional core analysis by reducing the required time for investigation. Also, the ability to capture pore geometries and fluid behavior at the pore-scale improves the understanding of complex reservoir structures. In this work, 53 samples of 2D thin section petrographic images were used for analyses from the core plugs taken from the Buzurgan oil field. Each sample was impregnated with blue-dyed epoxy, thin sectioned and then was stained for discrimination of carbonate minerals. Each thin section has been described in detail and illustrated by photomicrographs. The studied samples include a variety of rock types. Packstone is the most common rock type observed followed by grainstone and packstone – wackestone. Floatstone and dolostone are noted rarely in the studied interval. However, the samples of thin section images are processed and digitized, utilizing MATLAB programming and image analysis software. The entire workflow of digital core analysis from image segmentation to petrophysical rock properties determination was performed. A focused has been made on determining effective and total porosity, absolute permeability, and irreducible water saturation. Absolute permeability is estimated with the Kozeny-Carman permeability correlation model and Timur-Coates permeability correlation model. Irreducible water saturation simply is derived from total and effective porosity. Also, some pore void characteristics, such as area and perimeter, were calculated. The results of Digital 2D image analysis have been compared to laboratory core measurements to investigate the reliability and restrictions of the digital image interpretation techniques.
2 citations
01 Jan 1990
TL;DR: In this paper, the authors provide motivation and new methodology for measuring K(z), the distribution of horizontal hydraulic conductivity in the vertical direction in the vicinity of a test well.
Abstract: In the authors' opinion, the ability of hydrologists to perform field measurements of aquifer hydraulic properties must be enhanced if they are to improve significantly the capacity to solve ground water contamination problems at Superfund and other sites. Therefore, the primary purpose of the report is to provide motivation and new methodology for measuring K(z), the distribution of horizontal hydraulic conductivity in the vertical direction in the vicinity of a test well. Measurements in nearby wells can then be used to build up three-dimensional distributions. For completeness, and to enhance the usefulness of the report as a field manual, existing methodology for the measurement of effective porosity, vertical hydraulic conductivity, storativity and hydraulic head, are presented also. It is argued that dispersion-dominated models, particularly two-dimensional, vertically-averaged (areal) models, have been pushed about as far as they can go, and that two-dimensional vertical profile or fully three-dimensional advection-dominated transport models are necessary if they are to increase significantly the ability to understand and predict contaminant transport, reaction, and degradation in the field. Such models require the measurement of hydraulic conductivity distributions, K(z), rather than vertically averaged values in the form of transmissivities.
2 citations
TL;DR: In this paper, the authors have adopted an approach which combines multi-attribute linear regression with Probabilistic Neural Network (PNN) technology to predict effective porosity in 3D space away from the well.
Abstract: Effective porosity prediction in 3D space away from the well is essential to characterize reservoir effectively. Precise prediction of effective porosity is a challenging task because of the non-uniqueness in its relationship with conventional seismic attributes. The challenge further intensifies incase of complex geological setup having heterogeneous reservoir properties. In the present case, major channel-levee complexes associated with smaller episodes of channel-cut-fill and migration has made the study area a geologically complex one. To overcome this challenge, the authors have adopted an approach which combines multi-attribute linear regression with Probabilistic Neural Network (PNN) technology. However, choice of unconventional attribute, “Gas Volume”, along with conventional attributes and parameter selection has resulted in much improved prediction of effective porosity volume. This effective porosity volume has been found to contain finer detail amenable for further quantitative reservoir characterization efficiently.
2 citations