... magnetic susceptibility. The proposed workflow on well log analysis is to use grain density log calculated from mineral analysis. Derived correction is then applied to NMR porosity log. It does not show, however, a decisive linear correlation, perhaps due to the limited number of the studied samples...

... and other data for quantitative formation evaluation to compute volumetric results of the formation components, using ELANPlus, that implements the systematic approach via simultaneous solution of linear and non-linear equations that show relationships of respective well logging parameters, volumetric...

... where the shear signal strength was too weak. Therefore, the acoustic properties such interval need to be compensated by the other measurements like PS logging. well logging geological subdiscipline geology reservoir geomechanics formation evaluation symposium shear slowness unconsolidated...

... geologist sedimentary rock plate tectonics structural geology well logging production control fracture geochemistry drilling-induced fracture reservoir characterization formation evaluation symposium geological facies lithology university advanced borehole image display wellbore...

... symposium pore china well logging sichuan basin porosity partition clastic rock coal seam gas coal bed methane porosity saturation nmr measurement derived reservoir characterization university The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024 First Application of 2D NMR...

... uniform in order to maximize the sweep efficiency. However, it is difficult to have direct measurements of permeability for each fluid type with well logging. The conventional practice to estimate permeability is using the porosity-to-permeability relationship derived in exploration wells...

...The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024 Application of Bagging Ensemble Machine Learning Models to Predict Porosity of Sandstone Formations Using Well Log Data Kushan Sandunil 1, Ziad Bennour 1, Saaveethya Sivakumar 1, Hisham Ben Mahmud 2 and Ausama Giwelli 3, 4 1...

... of a strongly cemented sand. It is modified from the known Stiff Sand Model (SSM) by Stanford rock physics group, with a key change in determination of the dry modulus of the sand based on the in-situ geological and well log data using a modified Gassmann s equation. It is known that the success of a rock...

... well logging rock type machine learning log analysis saturation type nuclear magnetic resonance artificial intelligence reservoir characterization permeability fluid dynamics flow in porous media core analysis formation evaluation symposium hfu-fzi rock type gas field substitution nmr...

..., P. Y., Akkurt, R., Hodenfield, B., Jiang, T., Maehara, Y., Sharma, V., Abubakar, A., 2019, Class-Based Machine Learning for Next-Generation Wellbore Data Processing and Interpretation, Society of Petrophysicists and Well Log Analysts, 60th Annual Logging Symposium, June 15-19, 2019, Paper SPWLA-2019...

... and monitoring wells after the test (Yamamoto et al., 2021; Ouchi et al., 2022). In 2018, plug and well abandonment (P&A) operations were carried out for all wells for this project. During this P&A operations, two new wells AT1-CW1 and AT1-CW2 were drilled in 2018 to acquire more data of well logging...

... sinopec shengli oilfield company rock type well logging reservoir characterization geology model unconventional reservoir potential complex reservoir mudrock sedimentary geology mudstone 28th formation evaluation symposium pilot well slb Abstract The exploration and development...

... symposium high-definition electrical image nmr total porosity cnooc well logging production monitoring real time system evaluate natural fractured deep reservoir nmr porosity The 28th Formation Evaluation Symposium of Japan, September 13-14, 2023 Evaluate Natural Fractured Deep Reservoir Through...

... characteristics of well log data. A nuclear magnetic resonance (NMR) study was planned for a gas field offshore Western Australia. The study objective was to integrate all NMR data acquired in the field and provide a consistent set of inputs for use in a field model. To overcome NMR data normalization...

.... Zhao, A. L., Xie, B., He. X. Q. et al. 2017. Well Logging Evaluation of the Lower Permian Dolomite Reservoir in Central Sichuan Basin. Natural Gas Exploration and Development. Vol. 40, No. 2, p.1 6. Wei, G.Q., Yang, W., Du, J.H., Xu, C., Zou, C., Xie, W., Wu, S., and Zeng, F., 2015. Tectonic Features...

.... upstream oil & gas solver core analysis geology artificial intelligence machine learning japan government mineral log analysis 28th formation evaluation symposium numerical solver multi-salinity analysis synthetic data equation ffri measurement geologist asia government well logging...

... drilling operation rock type sandstone directional drilling lwd china government well planning well logging log analysis reservoir borehole oil column horizontal well drilling measurement well placement upstream oil & gas asia government anticollision risk logging while drilling...

... calculate the production of each layer. As the pressure depletion of each layer varies, the contribution rate of production capacity of each sublayer will also vary, which is in line with the actual production scenario. To take advantage of various high resolution well logs, single well predictive model...

... and is based in Beijing. His job focused on image interpretation, integrated geology study geology modeling. Xianran Zhao is a principal petrophysicist with SLB based in Beijing, China. He has over 30 years of professional experience in well logging and applied petrophysics for both conventional...

... that the shapes of field NMR T 2 spectra should be first corrected to remove the effect of crude oil before they were used for formation pore structure characterization at a particular state of saturation. well logging viscosity nmr experiment comparison log analysis relaxation oil-bearing...