An Automated System for Gravimetric Monitoring of Oil and Gas Deposits

Nazirova, A. B.; Abdoldina, Farida; Aymahanov, Murat; Umirova, G.K.; Muhamedyev, Ravil I.

doi:10.1007/978-3-319-49700-6_58

Cited by 3 publications

(3 citation statements)

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“…This article proposes a solution to the direct gravitmetry problem using the GA for the three simplest models of the geological environment -a homogeneous sphere, a horizontal prism and a vertical step. As part of these studies, a special GeoM IS was created for storage and processing of gravimetric monitoring data [6,16,17]. Free software was used to create the IS: PostgreSQL DBMS, PostGIS, GeoServer, Java.…”

Section: Methodsmentioning

confidence: 99%

Optimization of an information system module for solving a direct gravimetry problem using a genetic algorithm

Nazirova

Kalimoldayev

Abdoldina

et al. 2022

EEJET

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Optimal approaches to solving many problems are required in many areas. One of these areas is the determination of the occurrence of gravity anomalies in oil and gas fields. In this paper is proposed a new approach for determining the source of gravity anomalies in an oil and gas fields by estimating the gravity parameters associated with simple-shaped bodies such as a homogeneous sphere, a horizontal prism, and a vertical step. The approach was implemented in the computational module of the GeoM information system for optimizing the solution of a series of direct gravimetry problems using a genetic algorithm (GA). Approach is based on solving the direct gravimetry problem to minimize the discrepancy of gravity variations by the genetic algorithm. The method allows to select values simultaneously for several parameters of the studied environment. The task is realized through successive approximations based on a given initial approximation of the medium. The paper indicates the initial calculation parameters and criteria for finding optimal solutions for models of the geological environment. The calculations were carried out for such models of the environment as a homogeneous sphere, a horizontal prism and a vertical ledge. For calculations, the results of gravimetric monitoring at one of the Kazakh oil and gas fields were used. The paper demonstrates the operation of the algorithm and presents the results of modeling for three available field profiles. The obtained results of the system showed an acceptable accuracy of the algorithm up to 10-11. The genetic algorithm made it possible to significantly increase the reliability of the model and reduce the working time for analyzing the measured gravitational field

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Section: Methodsmentioning

confidence: 99%

Optimization of an information system module for solving a direct gravimetry problem using a genetic algorithm

Nazirova

Kalimoldayev

Abdoldina

et al. 2022

EEJET

Self Cite

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“…A special GIS GeoM was created [9,10] for storage and processing of the gravity monitoring data. PostgreSQL DBMS, PostGIS, GeoServer were used as free software to create GIS.…”

Section: Introductionmentioning

confidence: 99%

“…GIS allows us to import the source files of records from gravimeters, to convert them, to filter the data, to make the necessary corrections, to extract the statistical information, to do the samplings and summary matrices, to average the data and to perform other linear transformations on them. The paper [10] describes the functional modelling of the main business processes for doing gravity monitoring at this HCR, and the implementation of the general subsystems of the mentioned GIS.  set E = E';  calculation of the probability function;  checking the stopping criterion;  obtaining the minimal of the gravitational gravity field values.…”

Section: Introductionmentioning

confidence: 99%

Solution of the Gravity Exploration Direct Problem by the Simulated Annealing Method for Data Interpretation of Gravity Monitoring of the Subsoil Conditions

Abdoldina¹,

Nazirova²,

Dubovenko³

et al. 2021

News of NAN RK. SGTS

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The long-term development of hydrocarbon reservoirs (HCR) in the geological environment, complex deformation processes occur. Gravity monitoring is carried out to evaluate the possible geodynamic risk and negative consequences from HCR. As a result, the interrelationships of the continuously changing field-geological situation (changes in production volumes, changes in reservoir pressure, processes of fluid injection into productive formations) are investigated. The main tool for solving the gravity inversion when determining areas of increased industrial hazard is the solution of the gravity direct problem. In these studies, proceeding from a given initial approximation of the environment, the problem is realized through successive approximations. To assess such distributions, the authors of the article recommend using the simulated annealing technique within the framework of stochastic optimization. It is aimed at fitting the optimal parameters of the medium provided that a minimal residual of the gravity field values occurs. The approach is implemented using three simple mathematical models of the geological medium such as horizontal prism, homogeneous sphere, and vertical ledge. This technique allows fitting the media values simultaneously by a pair of its parameters. The operation of the algorithm is described and the simulation results are provided. The results showed acceptable accuracy of the algorithm for solving the direct gravity problem by the proposed method. The simulated annealing technique made it possible to increase the reliability of the HCR model while reduce the time for the analysis of the gravity field.

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Comprehensive Analysis of Magnetic and Gravity Data Based on Volumetric Gravity-Magnetic Modeling Along the Geotraverse in the Shu-Sarysu Sedimentary Basin

TLEUBERGENOVA,

UMIROVA,

MAUSSYMBAYEVA

et al. 2023

VKNUGEOL

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The purpose of the studies presented in the article is to obtain the information of the deep structures along the Shu-Sarysu geotraverse, to determine the regularities in the distribution of mineral deposits and predictive assessment of the research area prospects for searching for hydrocarbons and other minerals. To achieve this purpose, a complex of high-precision gravitational and magnetometric measurements was used. There was shown a high efficiency of the integrated interpretation of 3D gravimagnetic modeling when studying the geological structure of the crystalline basement (assessment of the morphology of its surface, material-petrophysical mapping of the rocks that make up the basement) and the sedimentary cover (assessment of the morphology of the reference horizons, studying their material composition); when identifying and clarifying the position of discontinuous faults, conducting lineament analysis in order to decipher the block structure of the studied areas; when building 3D volumetric models of geophysical parameters; when substantiating predictive and search geophysical criteria for detecting oil and gas geological structures, both in the thickness of sedimentary formations and in the rocks of the crystalline basement. The progress of these methods is conditioned by the widespread introduction into practice of modern computer technologies for processing and interpreting data.

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An Automated System for Gravimetric Monitoring of Oil and Gas Deposits

Cited by 3 publications

References 1 publication

Optimization of an information system module for solving a direct gravimetry problem using a genetic algorithm

Optimization of an information system module for solving a direct gravimetry problem using a genetic algorithm

Solution of the Gravity Exploration Direct Problem by the Simulated Annealing Method for Data Interpretation of Gravity Monitoring of the Subsoil Conditions

Comprehensive Analysis of Magnetic and Gravity Data Based on Volumetric Gravity-Magnetic Modeling Along the Geotraverse in the Shu-Sarysu Sedimentary Basin

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