The comparison of time reverse modeling and diffraction stacking for the time-spatial localization of microseismic events

This article is referred to the problem of source localization in visco-elastic medium using the results of surface seismological observation. There were investigated three technologies: Time Reverse Modeling, Diffraction stacking and Stacking correlation. The calculation is based on FEM

Determination of moment tensor and location of microseismic events under conditions of highly correlated noise based on the maximum likelihood method

© 2017 European Association of Geoscientists & Engineers.We examine the problem of localization of a single microseismic event and determination of its seismic moment tensor in the presence of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic events from a daylight surface during producing or surface monitoring of hydraulic fracturing. We propose a solution to this problem based on the method of maximum likelihood. We discuss mathematical aspects of the problem, some features and weak points of the proposed approach, estimate the required computing resources, and present the results of numerical experiments. We show that the proposed approach is much more resistant to correlated noises than diffraction stacking methods and time reverse modeling

Intelligent search in Big Data

© Published under licence by IOP Publishing Ltd. An approach to data integration, aimed on the ontology-based intelligent search in Big Data, is considered in the case when information objects are represented in the form of relational databases (RDB), structurally marked by their schemes. The source of information for constructing an ontology and, later on, the organization of the search are texts in natural language, treated as semi-structured data. For the RDBs, these are comments on the names of tables and their attributes. Formal definition of RDBs integration model in terms of ontologies is given. Within framework of the model universal RDB representation ontology, oil production subject domain ontology and linguistic thesaurus of subject domain language are built. Technique of automatic SQL queries generation for subject domain specialists is proposed. On the base of it, information system for TATNEFT oil-producing company RDBs was implemented. Exploitation of the system showed good relevance with majority of queries

Modeling of the natural vertically directed body waves generation processes in geological media

The report reviews interdisciplinary problem relevant to the search method hydrocarbon a low-frequency seismic sounding, based on the study of resonance properties of geological media. Problem is in the representation of the process of natural formation of a vertically directed body waves in a geological medium. In this survey was suggested and simulated a scattering mechanism of surface Rayleigh waves on inhomogeneities with Poisson's ratio different from the enclosing environment. The result of simulation of the upper part of the section as a set of layers consisting of elements with a random Poisson's ratio is observed a natural formation of a vertically directed volume waves

Bringing math to LOD: A semantic publishing platform prototype for scientific collections in mathematics

We present our work on developing a software platform for mining mathematical scholarly papers to obtain a Linked Data representation. Currently, the Linking Open Data (LOD) cloud lacks up-to-date and detailed information on professional level mathematics. To our mind, the main reason for that is the absence of appropriate tools that could analyze the underlying semantics in mathematical papers and effectively build their consolidated representation. We have developed a holistic approach to analysis of mathematical documents, including ontology based extraction, conversion of the article body as well as its metadata into RDF, integration with some existing LOD data sets, and semantic search. We argue that the platform may be helpful for enriching user experience on modern online scientific collections. © 2013 Springer-Verlag

The comparison of time reverse modeling and diffraction stacking for the time-spatial localization of microseismic events

This article is referred to the problem of source localization in visco-elastic medium using the results of surface seismological observation. There were investigated three technologies: Time Reverse Modeling, Diffraction stacking and Stacking correlation. The calculation is based on FEM

Determination of moment tensor and location of microseismic events under conditions of highly correlated noise based on the maximum likelihood method

© 2017 European Association of Geoscientists & Engineers.We examine the problem of localization of a single microseismic event and determination of its seismic moment tensor in the presence of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic events from a daylight surface during producing or surface monitoring of hydraulic fracturing. We propose a solution to this problem based on the method of maximum likelihood. We discuss mathematical aspects of the problem, some features and weak points of the proposed approach, estimate the required computing resources, and present the results of numerical experiments. We show that the proposed approach is much more resistant to correlated noises than diffraction stacking methods and time reverse modeling

Determination of moment tensor and location of microseismic events under conditions of highly correlated noise based on the maximum likelihood method

© 2017 European Association of Geoscientists & Engineers.We examine the problem of localization of a single microseismic event and determination of its seismic moment tensor in the presence of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic events from a daylight surface during producing or surface monitoring of hydraulic fracturing. We propose a solution to this problem based on the method of maximum likelihood. We discuss mathematical aspects of the problem, some features and weak points of the proposed approach, estimate the required computing resources, and present the results of numerical experiments. We show that the proposed approach is much more resistant to correlated noises than diffraction stacking methods and time reverse modeling

The comparison of time reverse modeling and diffraction stacking for the time-spatial localization of microseismic events

This article is referred to the problem of source localization in visco-elastic medium using the results of surface seismological observation. There were investigated three technologies: Time Reverse Modeling, Diffraction stacking and Stacking correlation. The calculation is based on FEM