Development and Testing of Tools for Modeling R&D Works in Geophysical Instrument-Making for Oil and Gas Well Electrometry

Authors

DOI:

https://doi.org/10.15407/scine18.03.028

Keywords:

geophysical research of wells, electrometry of oil and gas wells, electric logging, low-frequency induction logging, software, mathematical modeling, research and development, geophysical instrumentation

Abstract

Introduction. R&D works are one of the first stages of any instrument-making. They may be simplified significantly through the effective use of modeling software. Mathematical modeling of electrometry helps avoiding expensive and time-consuming field or laboratory tests. Using such approach significantly increases the efficiency of designing new equipment.
Problem Statement. The vast majority of electrometry equipment used in Ukraine was developed in the middle of 20th century and is out-of-date. This equipment is not able to successfully solve many pressing problems of
modern geophysical research. These problems include detection and determination of parameters for thin-layer, anisotropic reservoirs, residual oil saturation, abnormally high resistance etc. Fast and cheap development of new types of equipment is possible due to using mathematical modeling of many stages of R&D project. The successful use of mathematical modeling of electrometry requires not only the development and implementation of numerical methods to solve relevant direct problems, but also thorough testing before the implementation.
Purpose. The purpose of this research is the development and implementation of software and the testing of software and methodology for modeling R&D works related to oil and gas wells geophysical implementation.
Materials and Methods. Mathematical modeling of the problems related to electrometry of oil and gas wells.
Results. The developed software allows completing a number of assignments with the minimized time inputs. For example, user may calculate the ranges of measured values and study such parameters of the probe as vertical
resolution and depth of survey for given geometry of the probe, initial conditions (supply parameters), and well conditions. In addition, the software allows setting the optimal value of any parameter of the probe to reduce the
determination error of any geoelectric parameter of the selected formation, with the use of the developed minimization algorithm.
Conclusions. The software with methodological framework for modeling R&D works related to geophysical instrumentation for oil and gas wells electrometry has been developed, successfully tested, implemented and been ready for the further introduction into production process. Such software may be effectively used for the creation
of software for quantitative interpretation of electrometry data with the use of electrical survey and low-frequency induction survey methods. 

Downloads

Download data is not yet available.

Author Biographies

M. Myrontsov, Institute of Telecommunications and Global Information Space of NAS of Ukraine

Leading Researcher

S. Dovgyi, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine

Honorary Director

O. Trofymchuk, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine

Director

O. Lebid, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine

Deputy Director for Science

V. Okhariev, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine

Senior Researcher

References

Dovgyi, S. O., Evdoschuk, M. I., Korzhnev, M. M., Kulish, E. A., Kurilo, M. M., …, Yakovlev, E. A. (2010). Energy and resource component of Ukraine's development. Kyiv [In Ukrainian].

Anderson, B. I. (2001). Modeling and inversion methods for the interpretation of resistivity logging tool response. Delft.

Karpenko, O., Myrontsov, M., Karpenko, I., Sobol, V. (2020, November). Detection conditions of gas-saturated layers by the result of complex interpretation of non-electrical well logging data. XIV International Scientific Conference "Moni toring of Geological Processes and Ecological Condition of the Environment" (November 2020, Kyiv). https://doi.org/10.3997/2214-4609.202056034

Karpenko, O., Sobol, B., Myrontsov, M., Karpenko, I. (2020). Analysis of the influence of geological factors on the depth of the filtrate invaded zone at the primary disclosure of granular reservoirs according to the well-logging data. Visnyk of Taras Shevchenko National University of Kyiv. Geology, 4(91), 16-21 [іn Ukrainian]. https://doi.org/10.17721/1728-2713.91.02

Karpenko, O., Myrontsov, M. (2021, May) T. Binnert Heites rule of perspective geological correlation as a tool for solving geological problems. 20th International Conference "Geoinformatics: Theoretical and Applied Aspects" (May 2021, Kyiv). https://doi.org/10.3997/2214-4609.20215521040

Epov, M. I., Antonov, Yu. N. (Еd.). Technology of exploration of oil and gas wells based on VIKIZ. Methodical guide. Novosibirsk: NIC OIGGM SO RAN, 2000 [in Russian].

Yegurnova, M. G., Zaikovsky, M. Ya., Zavorotko, Y. M., Tsoha, O. G., Knishman, O. Sh., Mulyr, P. M., Demyanenko, I. I. (2005). Oil and gas prospecting facilities of Ukraine. Oil-gas content and features of litho-geophysical construction of deposits of the lower Carboniferous and Devonian of the Dnipro-Donets depression. Kyiv [in Ukrainian].

Myrontsov, M. L. (2018). Multi-Probe Hardware for Electrometry of Oil and Gas Wells. Sci. innov., 14(3), 51-56. https://doi.org/10.15407/scine14.03.051

Myrontsov, M. L., Karmazenko, V. V., Semeniuk, V. G., Stasiv, O. S., Tereb, S. N., Tunik, O. V. (2020). Low frequency induction logging multi-probe complex efficiency experimental estimation. Reports of the National Academy of Sciences of Ukraine, 2, 58-67 [іn Ukrainian]. https://doi.org/10.15407/dopovidi2020.02.058

Myrontsov, M. L., Semeniuk, V. G., Tunik, O. V. (2021). An example of solving the inverse problem of multi-probe induction logging. NTV "Karotazhnik", 1, 106-116 [іn Russian].

Myrontsov, M. L. (2019). Electrometry in oil and gas wells. Kyiv [in Ukrainian].

Bakhova, N. I., Kashik, A. S., Kolosov, A. L., Chelokyan, R. S. (1999). Finite difference and finite element methods in geophysics. Kyiv [In Russian].

Kaufman, A. A. (1965). Theory of induction logging. Moscow [in Russian].

Myrontsov, M., Karpenko, O., Trofymchuk, O., Okhariev, V., Anpilova, Y. (2021). Increasing vertical resolution in electrometry of oil and gas wells. Systems, decision and control in energy II. Studies in systems. decision and control. Springer, Cham. P. 101-117. https://doi.org/10.1007/978-3-030-69189-9_6

Myrontsov, M. L., Karpenko, O. M., Trofymchuk, O. M., Okhariev, V. O. (2020, November). Examples of determination of spatial and geoelectric parameters of productive beds of deposits of the Dnipro-Donetsk depth. XIV International Scientific Conference "Monitoring of Geological Processes and Ecological Condition of the Environment". (November 2020, Kyiv). https://doi.org/10.3997/2214-4609.202056079

Myrontsov, M., Karpenko, O., Horbulin, V. (2021). Quantitative Method for Determining the Solution Error of the Inverse Problem in the Electrometry of Oil and Gas Wells. E3S Web of Conferences (30 June 2021, Kryvyi Rig). https://doi.org/10.1051/e3sconf/202128009003

Myrontsov, M., Karpenko, O. (2021). Radial characteristics of lateral logging in thin-bedded formation. 20th International Conference "Geoinformatics: Theoretical and Applied Aspects" (May 2021, Kyiv). https://doi.org/10.3997/2214-4609.20215521045

Dovgiy, S. O., Lyashko, S. I., Cherniy, D. I. (2017). Algorithms of the Discrete Singularity Method for Computing Technologies. Cybernetics and Systems Analysis, 53(6), 950-962. https://doi.org/10.1007/s10559-017-9997-4

Babenko, V. V., Kozlov, L. F., Dovgiy, S. A., Yurchenko, N. F., Ivanov, V. P., Gnitetskiy, N. A., Korobov, V. I. (1984). Influence of the outflow generated vortex structures on the boundary layer characteristics. Laminar-Turbulent Transition. Springer-Verlag. P. 509-513.

https://doi.org/10.1007/978-3-642-82462-3_62

Dovgyi, S. O., Yurikov, O. I., Zozyuk, M. O. (2020). On One Statistical Model of Error Rate in the Stream of Packet Data Transmission through Communication Channels. Cybernetics and Systems Analysis, 56(5), 739-744. https://doi.org/10.1007/s10559-020-00294-x

Koroliuk, V. S., Koroliouk, D., Dovgyi, S. O. (2020). Diffusion Process with Evolution and its Parameter Estimation. Cybernetics and Systems Analysis, 56(5), 732-738. https://doi.org/10.1007/s10559-020-00293-y

Downloads

Published

2022-06-09

How to Cite

Myrontsov М., Dovgyi С., Trofymchuk О., Lebid О., & Okhariev В. (2022). Development and Testing of Tools for Modeling R&D Works in Geophysical Instrument-Making for Oil and Gas Well Electrometry. Science and Innovation, 18(3), 28–36. https://doi.org/10.15407/scine18.03.028

Issue

Section

Scientific and Technical Innovation Projects of the National Academy of Sciences