Construction of regional geophysical models based on the joint interpretation of gravitaty and seismic data

Мартышко, П. С.; Ladovskii, I. V.; Tsidaev, A. G.

doi:10.1134/s1069351310110030

Cited by 25 publications

(22 citation statements)

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“…To divide the long-and short-wave components of the amplitude spectrum of anomalies, geophysicists utilize numerical methods of field simulation at various altitudes [Martyshko and Prutkin, 2003;Martyshko et al, 2014].…”

Section: Methods Of Separation Of Anomalies From Sources In the Earth's Crustmentioning

confidence: 99%

“…The anomalous magnetic field has an integral character and contains components from all the sources located in the upper lithosphere. In order to extract the anomaly from the sources in different layers of the Earth's crust, a technique based on subsequent upward and downward magnetic data continuation was used [Martyshko et al, 2014]. There are two problems to be solved.…”

Section: Methods Of Separation Of Anomalies From Sources In the Earth's Crustmentioning

confidence: 99%

“…The parallel algorithms of the height transforms based on the gradient type iterative methods have been designed and numerically implemented on Uran supercomputer at the Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences [Martyshko et al, 2014]. The Uran supercomputer is a cluster of multiprocessor systems, each computing unit of which is based on two 4-core Intel Quad-Core Xeon processors with a speed of 3 GHz and a 16/32 Gb cache.…”

Section: Methods Of Separation Of Anomalies From Sources In the Earth's Crustmentioning

confidence: 99%

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Numerical algorithms for structural magnetometry inverse problem solving

Мартышко¹,

Fedorova²,

Rublev³

2021

Russ. J. Earth Sci.

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New methods for studying the anomalous magnetic field of the lithosphere and modeling the sources of anomalies in different layers of the Earth's crust are given in this article. The interpretation consists of three stages: separation of anomalies from the sources in different layers of the Earth's crust, data conversion to the magnetic pole and solving the inverse problem of finding the surface of sources. To isolate anomalies from different layers of the earth's crust, we used a technique based on the subsequent continuation of magnetic data up and down. Calculation of the vertical component of the anomalous magnetic field by its absolute value and conversion to the pole is based on the approximation of the anomalies of the magnetic induction modulus through a set of singular sources -magnetized rods. To solve the nonlinear inverse problem and calculate the boundaries separating layers with different magnetization, the method of local corrections was applied. The new computer technology was created using parallel computing in the multiprocessor computer systems. To demonstrate the developed methods, we chose the region of Western Urals 300 km × 230 km, where the large magnetic anomalies are located. Anomalies from various layers of the Earth's crust were identified and the models of the sources of magnetic anomalies in the granite layer and the surface of the basaltic layer were constructed. The study revealed basic-ultramafic massifs under a thick sedimentary cover, as well as extended deep belts and large elevations of the basalt layer of the Earth's crust. The results clarify the lithosphere structure of the Western Urals and can be used for geodynamic reconstructions.

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Section: Methods Of Separation Of Anomalies From Sources In the Earth's Crustmentioning

confidence: 99%

Section: Methods Of Separation Of Anomalies From Sources In the Earth's Crustmentioning

confidence: 99%

Section: Methods Of Separation Of Anomalies From Sources In the Earth's Crustmentioning

confidence: 99%

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Numerical algorithms for structural magnetometry inverse problem solving

Мартышко¹,

Fedorova²,

Rublev³

2021

Russ. J. Earth Sci.

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“…We propose a sustainable adaptive method for solving linear equation systems (11) based on the local corrections method [13][14][15][16]. However, the original method was created for the reconstruction of boundary surface position.…”

Section: Inverse Problem Solution Iteration Algorithmmentioning

confidence: 99%

Gravity Data Inversion with Method of Local Corrections for Finite Elements Models

et al. 2018

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We present a new method for gravity data inversion for the linear problem (reconstruction of density distribution by given gravity field). This is an iteration algorithm based on the ideas of local minimization (also known as local corrections method). Unlike the gradient methods, it does not require a nonlinear minimization, is easier to implement and has better stability. The algorithm is based on the finite element method. The finite element approach in our study means that the medium (part of a lithosphere) is represented as a set of equal rectangular prisms, each with constant density. We also suggest a time-efficient optimization, which speeds up the inversion process. This optimization is applied on the gravity field calculation stage, which is a part of every inversion iteration. Its idea is to replace multiple calculations of the gravity field for all finite elements in all observation points with a pre-calculated set of uniform fields for all distances between finite element and observation point, which is possible for the current data set. Method is demonstrated on synthetic data and real-world cases. The case study area is located on the Timan-Pechora plate. This region is one of the promising oil- and gas-producing areas in Russia. Note that in this case we create a 3D density model using joint interpretation of seismic and gravity data.

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“…In [1], the method of local corrections is applied to determine the structural boundaries. The observed data are processed with the technique proposed by Martyshko and Prutkin [2]: fields for each layer between given depths are calculated and then a modi fied method of local corrections is applied to find the structural boundary from the corresponding distin guished field.…”

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confidence: 99%