18 research outputs found
ΠΠ΄Π΄ΠΈΡΠΈΠ²Π½ΡΠ΅ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² Π³Π΅ΠΎΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ ΠΏΠΎΠ»Π΅ΠΉ
A fundamentally novel approach for solving the inverse problems in gravity and magnetic ore prospecting using the assembly method is presented. This approach is implemented in additive technologies of quantitative interpretation of geopotential fields. The basic idea is to build a distribution of a certain parameter based on a set of possible interpretation options, associated with an estimate of the probability of detecting field sources at all points of the geological space under study. Then this distribution is used to select the assumed source of anomalous masses. The result of interpretation is presented in the form of a βpackage of information,β containing a generalized spatial-statistical characteristic of anomalous objects and several particular solutions of the inverse problem that meet various criteria of optimality.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈΠ°Π»ΡΠ½ΠΎ ΠΎΡΠ»ΠΈΡΠ½ΡΠΉ ΠΎΡ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΠ±ΡΠ°ΡΠ½ΡΡ
Π·Π°Π΄Π°Ρ Π³ΡΠ°Π²ΠΈΡΠ°Π·Π²Π΅Π΄ΠΊΠΈ ΠΈ ΠΌΠ°Π³Π½ΠΈΡΠΎΡΠ°Π·Π²Π΅Π΄ΠΊΠΈ ΡΡΠ΄Π½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠΎΠ½ΡΠ°ΠΆΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π°. ΠΠ°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΡΠ΅Π°Π»ΠΈΠ·ΡΠ΅ΡΡΡ Π² Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΡ
ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ Π³Π΅ΠΎΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΏΠΎΠ»Π΅ΠΉ. ΠΡΠ½ΠΎΠ²Π½Π°Ρ ΠΈΠ΄Π΅Ρ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΡΠΎΠΌ, ΡΡΠΎΠ±Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π½Π΅ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°, Π°ΡΡΠΎΡΠΈΠΈΡΡΡΡΠ΅Π³ΠΎΡΡ Ρ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΏΠΎΠ»Ρ Π²ΠΎ Π²ΡΠ΅Ρ
ΡΠΎΡΠΊΠ°Ρ
ΠΈΠ·ΡΡΠ°Π΅ΠΌΠΎΠ³ΠΎ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°, Π° Π·Π°ΡΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΡΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π΄Π»Ρ Π²ΡΠ±ΠΎΡΠ° ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ Π½ΠΎΡΠΈΡΠ΅Π»Ρ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠ΅ΠΎΠ±ΡΠ°Π·ΡΡΡΠΈΡ
ΠΌΠ°ΡΡ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΉ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡΡΡ Π² Π²ΠΈΠ΄Π΅ Β«ΠΏΠ°ΠΊΠ΅ΡΠ° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈΒ», ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅Π³ΠΎ Π² ΡΠ΅Π±Π΅ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΡΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΡ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠ΅ΠΎΠ±ΡΠ°Π·ΡΡΡΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΡΠ°ΡΡΠ½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ, ΠΎΡΠ²Π΅ΡΠ°ΡΡΠΈΡ
ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡΡΠΈ
Modeling of Geological Objects and Geophysical Fields Using Haar Wavelets
Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π±ΡΡΡΡΠΎΠ³ΠΎ Π²Π΅ΠΉΠ²Π»Π΅Ρ-ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Ρ Π±Π°Π·ΠΈΡΠ½ΡΠΌΠΈ ΡΡΠ½ΠΊΡΠΈΡΠΌΠΈ Π₯Π°Π°ΡΠ° Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ ΠΈ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ»Π΅ΠΉ, ΠΎΠ±Π»Π°Π΄Π°ΡΡΠΈΡ
ΡΡΠ°ΠΊΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌΠΈ. Π Π°Π·Π½ΠΎΠΌΠ°ΡΡΡΠ°Π±Π½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ½ΠΈΠ·ΠΈΡΡ Π·Π°ΡΡΠ°ΡΡ ΠΏΡΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ Π΄Π°Π½Π½ΡΡ
Π±ΠΎΠ»ΡΡΠΎΠΉ ΡΠ°Π·ΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΉ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ ΠΊΡΡΠΎΡΠ½ΠΎ-ΠΏΡΠΈΠ·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ², ΠΏΡΠ΅Π΄Π²Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΡΡ
ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΏΡΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ ΠΏΠΎΠ»Ρ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π½Π°ΠΌΠ°Π³Π½ΠΈΡΠ΅Π½Π½ΠΎΡΡΠΈ Π³ΠΎΡΠ½ΡΡ
ΠΏΠΎΡΠΎΠ΄ Π²Π΅ΡΡ
Π½Π΅ΠΉ ΡΠ°ΡΡΠΈ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·ΡΠ΅Π·Π°.This article is a presentation of application of the fast wavelet transform with basic Haar functions for modeling the structural surfaces and geophysical fields, characterized by fractal features. The multiscale representation of experimental data allows reducing significantly a cost of the processing of large volume data and improving the interpretation quality. This paper presents the algorithms for sectionally prismatic approximation of geological objects, for preliminary estimation of the number of equivalent sources for the analytical approximation of fields, and for determination of the rock magnetization in the upper part of the geological section
ΠΠΎΠΊΠ°Π»ΡΠ½ΠΎΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ΄ΠΎΠ½ΠΎΡΠ½ΡΡ ΠΈΠ½ΡΡΡΠ·ΠΈΠ²Π½ΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ Π³Π΅ΠΎΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ ΠΏΠΎΠ»Π΅ΠΉ
The article shows the effectiveness of the modern techniques of gravity and magnetic data interpretation in geological difficult terrain conditions of the northwest of the Siberian platform. It describes the results of local assessment of the deep-laying intrusive bodies bearing a copper-nickel mineralization obtained with the use of probabilistic and statistical methods, and an interpretative tomography transformation.ΠΠΎΠΊΠ°Π·Π°Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ Π³ΡΠ°Π²ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΈ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Π΅ΠΉ Π² ΡΠ»ΠΎΠΆΠ½ΡΡ
ΡΠΈΠ·ΠΈΠΊΠΎ-Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ΅Π²Π΅ΡΠΎ-Π·Π°ΠΏΠ°Π΄Π° Π‘ΠΈΠ±ΠΈΡΡΠΊΠΎΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ. ΠΠΏΠΈΡΠ°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π³Π»ΡΠ±ΠΎΠΊΠΎΠ·Π°Π»Π΅Π³Π°ΡΡΠΈΡ
ΠΈΠ½ΡΡΡΠ·ΠΈΠ²Π½ΡΡ
ΡΠ΅Π», Π½Π΅ΡΡΡΠΈΡ
ΠΌΠ΅Π΄Π½ΠΎ-Π½ΠΈΠΊΠ΅Π»Π΅Π²ΠΎΠ΅ ΠΎΡΡΠ΄Π΅Π½Π΅Π½ΠΈΠ΅, Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΠΎ-ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ
Π Π΅ΡΠ΅Π½ΠΈΠ΅ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ Π³ΡΠ°Π²ΠΈΡΠ°Π·Π²Π΅Π΄ΠΊΠΈ Π΄Π»Ρ 2D ΠΏΡΠΈΠ·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ΅Π» ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ ΠΈΡΠΏΡΡΠ°Π½ΠΈΠΉ
An algorithm for solving a nonlinear inverse problem of gravity exploration for a monogenic anomaly caused by a 2D prism, based on the method of statistical tests (Monte Carlo), is presented. It uses the generation of random multidimensional vectors of rectangular coordinates of the corner points of the model. The difference between the observed and model fields is estimated in the Euclidean and Chebyshev metrics. The algorithm was developed for the purpose of teaching students and implemented in the PODBOR_ST program, which is used in the process of laboratory work. Model and practical examples of the interpretation of gravity anomalies are given. In the latter case, a guaranteed approach is implemented.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ Π³ΡΠ°Π²ΠΈΡΠ°Π·Π²Π΅Π΄ΠΊΠΈ Π΄Π»Ρ ΠΌΠΎΠ½ΠΎΠ³Π΅Π½ΠΈΡΠ½ΠΎΠΉ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΈ, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ 2D ΠΏΡΠΈΠ·ΠΌΠΎΠΉ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° ΠΌΠ΅ΡΠΎΠ΄Π΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΠΏΡΡΠ°Π½ΠΈΠΉ (ΠΠΎΠ½ΡΠ΅-ΠΠ°ΡΠ»ΠΎ). Π Π½Π΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ Π³Π΅Π½Π΅ΡΠ°ΡΠΈΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΡΡ
Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΏΡΡΠΌΠΎΡΠ³ΠΎΠ»ΡΠ½ΡΡ
ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ ΡΠ³Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠ΅ΠΊ ΠΌΠΎΠ΄Π΅Π»ΠΈ. ΠΠ΅Π²ΡΠ·ΠΊΠ° Π½Π°Π±Π»ΡΠ΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Π΅ΠΉ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΡΡΡ Π² ΠΌΠ΅ΡΡΠΈΠΊΠ°Ρ
ΠΠ²ΠΊΠ»ΠΈΠ΄Π° ΠΈ Π§Π΅Π±ΡΡΠ΅Π²Π°. ΠΠ»Π³ΠΎΡΠΈΡΠΌ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½ Ρ ΡΠ΅Π»ΡΡ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ ΡΡΡΠ΄Π΅Π½ΡΠΎΠ² ΠΈ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ Π² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ΅ PODBOR_ST, ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΠ΅ΠΉΡΡ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΡΠ°Π±ΠΎΡ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΡΠ΅ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΉ ΡΠΈΠ»Ρ ΡΡΠΆΠ΅ΡΡΠΈ, Π² ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅ΠΌ ΡΠ»ΡΡΠ°Π΅ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ Π³Π°ΡΠ°Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄
ΠΡΠ΅Π½ΠΊΠ° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ° Π³ΡΠ°Π²ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠΎΡ ΡΠ°ΡΡΠΈΡ
An algorithm for solving a nonlinear inverse problem of gravity exploration using the particle swarm optimization for a two-dimensional horizontal prism is considered. After a relatively small number of iterations, the size and depth of the disturbing object were determined. Three options were used to adjust the speed of movement of theΒ swarm during the optimization process. The interpretation results are presented in the form of a geodensity model that corresponds to the minimum discrepancy between the observed and theoretical fields, as well as a vertical isoline map of the localization function. A quantitative interpretation of the gravity force of the Berezovskiy anomalous zone (Perm region) was carried out. It is concluded that the use of swarm intelligence is highly promising for assessing the parameters of gravitational anomalies sources.Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ Π³ΡΠ°Π²ΠΈΡΠ°Π·Π²Π΅Π΄ΠΊΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠΎΡ ΡΠ°ΡΡΠΈΡ Π΄Π»Ρ Π΄Π²ΡΡ
ΠΌΠ΅ΡΠ½ΠΎΠΉ Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠΈΠ·ΠΌΡ. ΠΠΎΡΠ»Π΅ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ Π½Π΅Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΡΠΈΡΠ»Π° ΠΈΡΠ΅ΡΠ°ΡΠΈΠΉ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠ² ΠΈ Π³Π»ΡΠ±ΠΈΠ½Ρ Π·Π°Π»Π΅Π³Π°Π½ΠΈΡ Π²ΠΎΠ·ΠΌΡΡΠ°ΡΡΠ΅Π³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ°. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΡΠΈ Π²Π°ΡΠΈΠ°Π½ΡΠ° ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²ΠΊΠΈ ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΡ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π² Π²ΠΈΠ΄Π΅ Π³Π΅ΠΎΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΎΡΠ²Π΅ΡΠ°ΡΡΠ΅ΠΉ ΠΌΠΈΠ½ΠΈΠΌΡΠΌΡ Π½Π΅Π²ΡΠ·ΠΊΠΈ Π½Π°Π±Π»ΡΠ΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ»Π΅ΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²Π΅ΡΡΠΈΠΊΠ°Π»ΡΠ½ΠΎΠΉ ΠΊΠ°ΡΡΡ ΠΈΠ·ΠΎΠ»ΠΈΠ½ΠΈΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ. ΠΡΠΏΠΎΠ»Π½Π΅Π½Π° ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΡ ΡΠΈΠ»Ρ ΡΡΠΆΠ΅ΡΡΠΈ ΠΠ΅ΡΠ΅Π·ΠΎΠ²ΡΠΊΠΎΠΉ Π°Π½ΠΎΠΌΠ°Π»ΡΠ½ΠΎΠΉ Π·ΠΎΠ½Ρ (ΠΠ΅ΡΠΌΡΠΊΠΈΠΉ ΠΊΡΠ°ΠΉ). Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΎΠ΅Π²ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² Π³ΡΠ°Π²ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΉ
Minimization risk technique for solving gravity inverse problems in weak assumptions about geological noise properties
The concept of the hidden information on the gravity anomaly sources as joint fragment of the true and model disturbing objects was introduced. In the presence of uncertainty inherent to inverse problems, limit possibilities of algorithms for constructing the best estimates of the parameters of source models is to maximize the secure amount of the extracted reliable information. Justified application to βoreβ type gravity nonlinear inverse problems known to minimization risk concept in solving the choice problem under conditions or a priori information shortage. According to this concept as the best of the feasible solutions of the inverse problem is chosen at which the minimum of the expectation value error of interpretation results is achieved. It is assumed zero median noise in the observed gravity field, i.e. the presence of positive and negative noise with equal probability, but it is not excluded that the absolute value of the interference of some of the same sign may prevail. Constructing a sufficiently representative set of feasible interpretation options of which the best one will be chosen, has been performed by fitting algorithm in the finite element class models of geological bodies. An important advantage of the method, which is based on the idea of minimizing the risk is the possibility of an approximate estimate of the proximity of the proposed mathematical model to the true anomaly sources. Produced the results of computational experiments confirming the effectiveness of such assessments, as well as higher quality of the inverse problem solution using the proposed method in comparison with the traditional approach
Synthesis of linear and nonlinear formulation of the inverse problem in gravity prospecting and magnetic prospecting
We suggest a new approach to the combined estimator of physical and geometric parameters of geological objects by the results of gravimetric (or magnetic) field measurements. The idea to modify the assembly method for solving nonlinear inverse problem of "ore type" by the exchange of the assumption about known exact values of the object density (magnetization) for an interval form of the permissible value assignment for petrophysical parameters underlie this approach and is more adequate to geophysical practice. The algorithm of the construction of single reasonable interpretation variants represented in this article may become the element of more general technology. This technology realizes the concept of the guaranteed approach and consists in the search of geological substantial invariants on the set of all feasible solutions of the inverse problem
Alternating Noise Suppression in the Vertical Electrical Sounding Data Inversion
ΠΡΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΠΈ Π΄Π°Π½Π½ΡΡ
Π²Π΅ΡΡΠΈΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π·ΠΎΠ½Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ (ΠΠΠ) ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ°. ΠΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΡΡΡ ΡΠ°Π²Π½Π°Ρ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ Π½Π°Π»ΠΈΡΠΈΡ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΠΎΠΌΠ΅Ρ
Π² ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡΡ
ΡΠΈΠ³Π½Π°Π»Π°. ΠΠ°ΠΊΠΎΠ½ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ
ΠΌΠΎΠΆΠ΅Ρ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ ΠΎΡ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ. ΠΠΎΡΡΠΎΠΈΠ½ΡΡΠ²ΠΎΠΌ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠΈΠ±Π»ΠΈΠΆΠ΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΌΠΎΠ΄Π΅Π»ΠΈ Π³Π΅ΠΎΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·ΡΠ΅Π·Π°. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π° ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΏΡΠΈ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΡΡ
ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΈΡΠΊΠ°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ² ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ ΠΠΠ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠΌ.Β The authors suggest using a concept of minimizing the empirical risk during the inversion of the vertical electrical sounding (VES) data. The assumption of equal probability of positive and negative noise in measuring signal is made. The noise distribution may significantly differ from normal distribution. The advantage of method is the ability of an approximate estimation of the accuracy of determining the geoelectric parameters of the section model. The appropriateness of using random search procedure in the calculation of the inverse problem is validated. The results of computational experiments confirmed the higher quality of the VES inverse problem solution using the proposed method in comparison with the traditional approach