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Machine learning enhanced formation pressure prediction using integrated well logging and mud logging [PDF]
Scientific ReportsThe difficulty of accurately predicting abnormally high-pressure formation pressure is one of the critical challenges in the field of petroleum engineering.
Jiwen Liang +6 more
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Cejing jishu, 2023 Annual logging symposium of Society of Petrophysicists and Well Log Analysts (SPWLA) is an important platform for international advanced well logging technology communication.
WANG Xiaoning +5 more
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Core FIB-SEM Image Segmentation Algorithm Based on Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2021 The core Focused Ion Beam-Scanning Electron Microscope(FIB-SEM) images have the problems of uneven gray distribution and local highlight in the pores.The traditional image segmentation algorithms have low pore segmentation accuracy,and the contour-based ...
WANG Runhan, LI Bing, TENG Qizhi
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Depth-of-investigation characteristics and influence of 350-kV high-voltage X-ray density logging
He jishu, 2023 BackgroundThe use of controlled X-ray sources instead of 137Cs radioactive sources in density logging has become a new trend. The high voltage on the target substrate significantly affects the intensity of the X-ray source, and the density measurement ...
WANG Hu +7 more
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Investigation of quality factor frequency content in vertical seismic profile for gas reservoirs
Petroleum Research, 2021 Since long ago, indirect study of the underground layers properties has been interesting to geologists. One method for this study was seismography which gained great interest besides other tools due to the different identity of waves and energy ...
Ehsan Larki +4 more
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Chinese Journal of Magnetic Resonance, 2020 The dolomite reservoirs in the fourth member of Leikoupo formation of the western Sichuan gas field have good prospects for natural gas exploration and development. However, the conventional and one-dimensional nuclear magnetic resonance (1D NMR) logging
ZHANG Shi-mao +3 more
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Well logging digitization [PDF]
, 2005 Malureanu, I., Lambrescu, I., Stoica, D.
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Calculating Porosity From Two-Dimensional NMR Relaxation Spectra of the Leikoupo Group's 4th Section
Chinese Journal of Magnetic Resonance, 2020 Formation porosity can be calculated from one-dimensional nuclear magnetic resonance (NMR) logging data with a fixed cutoff value and the volume model of conventional logging data.
HOU Ke-jun +3 more
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Geophysical characteristics and structural composition of clay rocks in the terrigenous complex of the southeastern part of the West Siberian oil and gas bearing pro [PDF]
, 2009 The basic attributes identifying the clay rock composition in the terrigenous complex of the southeastern part of the West-Siberian platform have been determined, based on the correlation of structural composition and geophysical data, including induced ...
A Ezhova +10 more
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Petroleum, 2020 This work highlights the application of Artificial Neural Networks optimized by Cuckoo optimization algorithm for predictions of NMR log parameters including porosity and permeability by using field log data.
Ghasem Zargar +4 more
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