3D Modelling of the New Resistivity Microimaging Tool Signals for Logging While Drilling

Danilovskiy, K. N.; Глинских, В.Н.; Nechaev, O. V.

doi:10.3997/2214-4609.201801679

Cited by 4 publications

(3 citation statements)

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“…При этом ключевую роль играет развитие аппаратурной базы наклонно направленного бурения и каротажа в процессе бурения. Дальнейшее развитие методического аспекта ПО связано с внедрением модуля интерпретации скважинных имиджей УЭС, предоставляемых азимутальным прибором БКС [19][20][21].…”

Section: Interface Of the Module For Geosteering Using Electromagneunclassified

Web-Technologies Based Software for Oil and Gas Wells Geosteering

Danilovskiy

Dudaev

Глинских

et al. 2019

JIT

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Accuracy of the horizontal well placement in the target reservoir becomes essential for efficient oilfield development. Geosteering of a well with a complex trajectory is performed using real-time geophysical data obtained while drilling. The presented work is devoted to the development of a new software for horizontal oil and gas wells geosteering. Algorithms based on logging data correlation and electromagnetic logging data numerical inversion methods are used for well placement. The developed application is based on web-technologies and has a client-server architecture. To optimize the resource-intensive calculations execution time, high-performance cloud computing is used.

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Section: Interface Of the Module For Geosteering Using Electromagneunclassified

Web-Technologies Based Software for Oil and Gas Wells Geosteering

Danilovskiy

Dudaev

Глинских

et al. 2019

JIT

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“…Трофимука СО РАН (ИНГГ СО РАН, г. Новосибирск). Наряду с зондами, выполняющими традиционные геофизические измерения, комплекс включает в себя первый отечественный прибор бокового сканирующего каротажа (БКС) в процессе бурения [Danilovskiy et al, 2018]. Интерпретация данных БКС является одним из передовых способов, использующихся в мире при геонавигации наклонно-направленных нефтяных скважин.…”

Section: Introductionunclassified

Lateral scanning logging while drilling data processing using convolutional neural networks

Danilovskii

Loginov

2022

Russian Journal of geophysical technologies

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This article discusses a new approach to processing lateral scanning logging while drilling data based on a combination of three-dimensional numerical modeling and convolutional neural networks. We prepared dataset for training neural networks. Dataset contains realistic synthetic resistivity images and geoelectric layer boundary layouts, obtained based on true values of their spatial orientation parameters. Using convolutional neural networks two algorithms have been developed and programmatically implemented: suppression of random noise and detection of layer boundaries on the resistivity images. The developed algorithms allow fast and accurate processing of large amounts of data, while, due to the absence of full-connection layers in the neural networks’ architectures, it is possible to process resistivity images of arbitrary length.

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“…Для расчета сигналов БКС разработано программное обеспечение (ПО) [8], основанное на методе конечных элементов. С использованием данного ПО выполнено численное моделирование сигналов электрического микроимиджера в реалистичных трехмерных геоэлектрических моделях сред [9], исследовано влияние условий измерения на результаты интерпретации имиджей [10], показана возможность применения прибора для решения задач геонавигации [11].…”

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Evaluation of the BKS LWD Tool Spatial Resolution Based on the Numerical Simulation Results

Danilovskiy

Глинских

Nechaev

2019

Interexpo GEO-Siberia

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Reservoir microimaging tools are currently one of the most high-tech devices used in wireline logging and logging-while-drilling. Based on a three-dimensional numerical simulation, the spatial resolution of the first Russian lateral scanning logging-while drilling tool was estimated. An algorithm for constructing a geoelectric model with an arbitrary distribution of electrical resistivity in the near-wellbore space is described.

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3D Modelling of the New Resistivity Microimaging Tool Signals for Logging While Drilling

Cited by 4 publications

References 0 publications

Web-Technologies Based Software for Oil and Gas Wells Geosteering

Web-Technologies Based Software for Oil and Gas Wells Geosteering

Lateral scanning logging while drilling data processing using convolutional neural networks

Evaluation of the BKS LWD Tool Spatial Resolution Based on the Numerical Simulation Results

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