Rofikul Masud
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Publications

Using Machine Learning Methods to Model and Interpret Problems in Determining the Parameters of the Medium Near the Well Using Signals from a High-Frequency Induction Logging While Drilling Device

Author(s): Alexander Vlasov, Rofikul Masud, Galina Bykova
2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE)

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Software Patent

BIS – Fast Interpretation of High-Frequency Electromagnetic Sounding Data

Author(s): Galina Bykova (RU), Alexander Vlasov (RU), Rofikul Masud (BD)
Registered Computer Program, Russian Federation, Certificate No. 2024687640, 11/20/2024

Software for digital processing of high-frequency electromagnetic sounding signals during horizontal wellbore drilling. Functionalities include searching for model parameters matching experimental signals, calculating signals for individual models, and evaluating target functions. Operates with interval two-layer models considering layer resistance, anisotropy, dip angle, and depth. Compatible with Windows 10+, written in C++.

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