.... These factors lead to low data rates, high error rates, and unreliable communication if using conventional MPT techniques. noise machine learning measurement while drilling drilling measurement deep learning artificial intelligence annual logging symposium pulse signal telemetry spwla 66th...

... in complex or heterogeneous formations, supporting more effective and informed operational decisions. sedimentary rock clastic rock geologist sedimentology sedimentary geology mudrock artificial intelligence rock type well logging structural geology fuzzy logic depositional environment...

... and suitable for real-time processing of NMR log data. activation log analysis geologist artificial intelligence geology well logging nmr activation inversion uncertainty nmr inversion uncertainty nmr spectral uncertainty spwla-2025-0010 micropore th annual logging symposium porosity...

... based on discrete components and continuous distributions from ILT/Anahess. structural geology well logging clastic rock artificial intelligence sedimentary rock mudrock log analysis reservoir characterization application continuous distribution spectral resolution geologist rock type...

... reservoir simulation geologist mineral rock type well logging permeability electrical tortuosity rock class university tortuosity reservoir characterization integration porosity workflow solid line flow in porous media log analysis hydraulic tortuosity annual logging symposium artificial...

.... Based on measurements of these sensors, the machine learning method is then utilized to obtain fluid compositions, gas-oil ratio (GOR) and phase fractions. Furthermore, application of artificial intelligence to real-time fluid identification is presented in detail based on downhole optical data measured...

... features, reducing the uncertainty in heterogeneity assessment, and enabling in making decisions on optimizing drilling and production operations. geologist structural geology artificial intelligence log analysis reservoir characterization sedimentary rock rock type heterogeneity carbonate...

... their diagnostic capabilities. geology geologist fluid dynamics flow in porous media well logging artificial intelligence formation testing log analysis model machine learning stabilization spwla 66 efficiency decision-making real time system spwla-2025-0018 buildup stabilization time...

... artificial intelligence reservoir characterization spwla 66th dataset petroleum rock type annual logging symposium university application architecture SPWLA 66th Annual Logging Symposium, May 17-21, 2025 DOI: 10.30632/SPWLA-2025-0020 A MISSING WELL-LOGS GENERATION METHOD BASED ON GENERATIVE...

... in porous media fluid dynamics doi enhanced recovery log analysis annual logging symposium engineering liu mechanism artificial intelligence mudstone spwla 66th spwla-2025-0022 geologist mudrock well logging reservoir characterization sequence mobilization efficiency acquisition...

... and storage strategies for secure geological CO 2 sequestration. geologist subsurface storage sedimentary rock structural geology flow in porous media clastic rock rock type fluid dynamics artificial intelligence reservoir geomechanics geological subdiscipline permeability co exposure...

... characterization geologist artificial intelligence core analysis mineral content rock sample magnetite content susceptibility data variation annual logging symposium powdered rock sample bartington sensor hysteresis curve alberta spwla-2025-0026 spwla 66th university susceptibility value potter...

... was utilized for porosity evaluation and pore structure analysis. Ultimately, the petrophysical parameters, production logging data, and well production data were analyzed by using an artificial intelligence method to classify the reservoirs into three different groups and established a reservoir quality...

... better reservoir management. geology resistivity invasion permeability flow in porous media effective permeability saturation geologist machine learning annual logging symposium fluid dynamics invasion depth different time inversion spwla 66th permeability curve artificial...

... depositional environment artificial intelligence drilling data acquisition spwla 66th geological subdiscipline interpretation upward awali field geologist sedimentology well logging drilling measurement spwla-2025-0033 lithotype scheme structural geology sedimentary geology saudi arabia litho...

... novel method employs stochastic algorithm based on analytical rock physics solution and calibrated Timur-Coates equation. fluid dynamics sedimentary rock geology flow in porous media reservoir geomechanics porosity spwla-2025-0035 mineral artificial intelligence reservoir...

... casing and cementing artificial intelligence casing design well logging frequency pipe-guided wave spwla-2025-0038 cement evaluation university bonding condition fluid mode annual logging symposium propagation pipe reservoir characterization casing-guided wave spwla 66th receiver low...

... logging log analysis sedimentary rock salt tectonics porosity machine learning total porosity geological subdiscipline spwla-2025-0039 resolution equation structural geology artificial intelligence reservoir geomechanics amplitude permeability carbonate impedance reservoir...

... logging of bitumen-bearing fracture-caved carbonate reservoir. sedimentary rock geologist bitumen content artificial intelligence deep learning petroleum play type geology rock type unconventional play complex reservoir machine learning gas saturation conductivity log analysis...

... carbonate reservoir complex reservoir dolomite machine learning spwla 66th dissolution pore structure artificial intelligence geological subdiscipline porosity micp data permeability prediction sedimentary geology core analysis reservoir characterization annual logging symposium spwla-2025...