Identification of Permeability Field under Three-Phase Filtration Conditions Using Spline Surfaces with Unknown Number and Location of Interpolation Nodes

The problem of determining the permeability fields of a layered three-phase reservoir in the form of spline surfaces is considered. Measurements of the liquid flow rate and bottom hole pressure at the wells that penetrate the reservoir are used as initial information. The coordinates of the interpolation nodes of the spline surfaces and the permeability values in them are considered unknown. An algorithm is proposed to solve the problem based on methods for solving inverse coefficient problems. The location of the interpolation nodes is determined using the gradient of the objective function. The algorithm’s performance is tested on model identification tasks.

Institutions

Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2025-05-01
DOI
https://doi.org/10.1134/s1995080225606630
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Permeability Field under Three-Phase Filtration Conditions Using Spline Surfaces with Unknown Number and Location of Interpolation Nodes

Lobachevskii Journal of Mathematics
Geochemistry and Geologic Mapping
article

Identification of Permeability Field under Three-Phase Filtration Conditions Using Spline Surfaces with Unknown Number and Location of Interpolation Nodes

article en

Abstract

The problem of determining the permeability fields of a layered three-phase reservoir in the form of spline surfaces is considered. Measurements of the liquid flow rate and bottom hole pressure at the wells that penetrate the reservoir are used as initial information. The coordinates of the interpolation nodes of the spline surfaces and the permeability values in them are considered unknown. An algorithm is proposed to solve the problem based on methods for solving inverse coefficient problems. The location of the interpolation nodes is determined using the gradient of the objective function. The algorithm’s performance is tested on model identification tasks.

Lobachevskii Journal of MathematicsVol. 46(5)
Institute of Mechanics and Engineering (RU)
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.