A modified Boltzmann Annealing Differential Evolution algorithm for inversion of directional resistivity logging-while-drilling measurements

H Li, H Wang, L Wang, X Zhou - Journal of Petroleum Science and …, 2020 - Elsevier
Being introduced in the last decade for proactive geosteering, directional resistivity logging-
while-drilling (DRLWD) measurements have been used to predict and invert formation …

Real-time 3D inversion of ultra-deep resistivity logging-while-drilling data

G Wilson, D Marchant, E Haber, N Clegg… - SPE Annual Technical …, 2019 - onepetro.org
Ultradeep resistivity logging-while-drilling (LWD) is now a routine service for real-time well
landing, geosteering, and reservoir and fluid contact evaluation. Progressing beyond …

Numerical simulation and dimension reduction analysis of electromagnetic logging while drilling of horizontal wells in complex structures

ZG Wu, SG Deng, XQ He, R Zhang, YR Fan, XY Yuan… - Petroleum Science, 2020 - Springer
Electromagnetic logging while drilling (LWD) is one of the key technologies of the
geosteering and formation evaluation for high-angle and horizontal wells. In this paper, we …

2.5-D deep learning inversion of LWD and deep-sensing EM measurements across formations with dipping faults

K Noh, D Pardo, C Torres-Verdín - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Deep learning (DL) inversion of induction logging measurements is used in well geosteering
for real-time imaging of the distribution of subsurface electrical conductivity. We develop a …

High-precision geosteering via reinforcement learning and particle filters

RB Muhammad, A Srivastava, S Alyaev… - arXiv preprint arXiv …, 2024 - arxiv.org
Geosteering, a key component of drilling operations, traditionally involves manual
interpretation of various data sources such as well-log data. This introduces subjective …

Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements

K Noh, D Pardo, C Torres-Verdín - Geophysical Journal …, 2023 - academic.oup.com
Deep learning (DL) inversion is a promising method for real-time interpretation of logging-
while-drilling (LWD) resistivity measurements for well-navigation applications. In this context …

2D lateral imaging inversion for directional electromagnetic logging-while-drilling measurements

M Thiel, D Omeragic - Geophysics, 2019 - library.seg.org
Deep-directional electromagnetic (EM) logging-while-drilling technology can map reservoir
boundaries and fluid contacts for strategic geosteering, reservoir navigation, and more …

Inversion and uncertainty assessment of ultra-deep azimuthal resistivity logging-while-drilling measurements using particle swarm optimization

L Yan, Q Shen, H Lu, H Wang, X Fu, J Chen - Journal of Applied …, 2020 - Elsevier
As the depth of detection of logging-while-drilling azimuthal resistivity tools increases, more
details about formation structure fall into the detection zone. The complicated measurement …

2-D pixel-based inversion for simultaneous reconstruction of resistivity and dielectric constant from electromagnetic logging-while-drilling measurements

L Yan, S Zeng, J Chen - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
The dielectric effects are significant in certain circumstances in hydrocarbon exploration and
production. Neglecting these effects can result in an inaccurate description of subsurface …

Adaptive Global Optimization of Real-Time Boundary Detection From the LWD Azimuthal Electromagnetic Measurements in Layered TI Formation With Arbitrarily …

L Yu, H Wang, Y Wang, W Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The article proposes an efficient global optimization of adaptive boundary detection from the
logging while drilling (LWD) azimuthal electromagnetic (EM) measurements. The goal is to …