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Journal ArticleDOI

In-Place Determination of Permeability Distribution for Heterogeneous Porous Media Through Analysis of Energy Dissipation

R. William Nelson
- 01 Mar 1968 - 
- Vol. 8, Iss: 01, pp 33-42
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This article is published in Society of Petroleum Engineers Journal.The article was published on 1968-03-01. It has received 53 citations till now. The article focuses on the topics: Permeability (earth sciences) & Porous medium.

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Review of Parameter Identification Procedures in Groundwater Hydrology: The Inverse Problem

TL;DR: In this article, a survey of parameter identification procedures in groundwater hydrology is presented, which includes the evaluation of methods used for computing the sensitivity matrix and statistics which can be used to estimate the parameter uncertainty.
Journal ArticleDOI

Estimation of Aquifer Parameters Under Transient and Steady State Conditions: 1. Maximum Likelihood Method Incorporating Prior Information

TL;DR: In this article, a method is presented to estimate the parameters of groundwater flow models under steady and nonsteady state conditions, including the initial head distribution, which can also be estimated if the system is originally at a steady state.
Journal ArticleDOI

Using models to simulate the movement of contaminants through groundwater flow systems

TL;DR: In this paper, a review examines the formulation of contaminant transport models, application to field problems, difficulties encountered when solving the dispersion equation, and the current lack of knowledge regarding the quantification of chemical reaction terms.
Journal ArticleDOI

Stochastic Modeling of Groundwater Flow by Unconditional and Conditional Probabilities: The Inverse Problem

TL;DR: In this paper, the inverse problem of determining the transmissivity at varius points, given the shape and boundary of the aquifer and recharge intensity and given a set of measured log-transmissivity Y and head H values at a few points, is defined.
Journal ArticleDOI

Calibration of distributed parameter groundwater flow models viewed as a multiple‐objective decision process under uncertainty

TL;DR: In this paper, a multiple-objective decision process is proposed for parameter identification in a locally anisotropic aquifer, where a continuous or discrete set of alternative solutions to the identification problem is generated with the aid of mathematical programing techniques.
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