Development and Testing of Tools for Modeling R&D Works in Geophysical Instrument-Making for Oil and Gas Well Electrometry
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
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 The vast majority of electrometry equipment used in Ukraine was developed in the middle of 20th century and is out-of-date.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.
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