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Volume 65, Issue 04

August 2024

All Issues

ISSN 1529-9074

EISSN 2641-4112

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Journal Paper

A Machine-Learning Approach to Predict Gas-Oil Ratio Based on Advanced Mud Gas Data

Ibnu Hafidz Arief; Tao Yang

Petrophysics 65 (04): 433–454. https://doi.org/10.30632/PJV65N4-2024a1

Abstract

View articletitled, A Machine-Learning Approach to Predict Gas-Oil Ratio Based on Advanced Mud Gas Data

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Journal Paper

Reservoir Fluid Data Acquisition Using Advanced Mud-Logging Gas in Shale Reservoirs

Tao Yang; Ibnu Hafidz Arief; Martin Niemann; Marianne Houbiers

Petrophysics 65 (04): 455–469. https://doi.org/10.30632/PJV65N4-2024a2

Abstract

View articletitled, Reservoir Fluid Data Acquisition Using Advanced Mud-Logging Gas in Shale Reservoirs

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Journal Paper

Real-Time Fluid Identification From Integrating Advanced Mud Gas and Petrophysical Logs

Margarete Kopal; Gulnar Yerkinkyzy; Marianne Therese Nygård; Alexandra Cely; Frode Ungar; Sandrine Donnadieu; Tao Yang

Petrophysics 65 (04): 470–483. https://doi.org/10.30632/PJV65N4-2024a3

Abstract

View articletitled, Real-Time Fluid Identification From Integrating Advanced Mud Gas and Petrophysical Logs

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Journal Paper

Unlock Large Potentials of Standard Mud Gas for Real-Time Fluid Typing

Tao Yang; Knut Uleberg; Alexandra Cely; Gulnar Yerkinkyzy; Sandrine Donnadieu; Vegard Thom Kristiansen

Petrophysics 65 (04): 484–495. https://doi.org/10.30632/PJV65N4-2024a4

Abstract

View articletitled, Unlock Large Potentials of Standard Mud Gas for Real-Time Fluid Typing

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Journal Paper

Reservoir Fluid Typing From Standard Mud Gas – A Machine-Learning Approach

Alexandra Cely; Artur Siedlecki; Cuthbert Shang Wui Ng; Artur Liashenko; Sandrine Donnadieu; Tao Yang

Petrophysics 65 (04): 496–506. https://doi.org/10.30632/PJV65N4-2024a5

Abstract

View articletitled, Reservoir Fluid Typing From Standard Mud Gas – A Machine-Learning Approach

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Journal Paper

A Novel Method to Map Heavy Oil Viscosity From Standard Mud Gas – A Field Case From the Peregrino Field

Maria Cecilia Bravo; Alexandra Cely; Gulnar Yerkinkyzy; David Xavier; Leonardo Masutti; Marcos Paulo de Souza; Sandrine Donnadieu; Tao Yang

Petrophysics 65 (04): 507–518. https://doi.org/10.30632/PJV65N4-2024a6

Abstract

View articletitled, A Novel Method to Map Heavy Oil Viscosity From Standard Mud Gas – A Field Case From the Peregrino Field

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Journal Paper

Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data

Frode Ungar; Gulnar Yerkinkyzy; Maria Cecilia Bravo; Tao Yang

Petrophysics 65 (04): 519–531. https://doi.org/10.30632/PJV65N4-2024a7

Abstract

View articletitled, Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data

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Journal Paper

Evaluation of PVT Comparisons and GOR Prediction Based on Advanced Mud Gas Data: A Case Study From Snorre Field

Priscila Furghieri Bylaardt Caldas; George Kirkman; Frode Ungar; Tao Yang

Petrophysics 65 (04): 532–547. https://doi.org/10.30632/PJV65N4-2024a8

Abstract

View articletitled, Evaluation of PVT Comparisons and GOR Prediction Based on Advanced Mud Gas Data: A Case Study From Snorre Field

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Journal Paper

A New Gas Logging Method Based on Semipermeable Film Degasser and Infrared Spectrum

Leli Cheng; Xiaobin Ye; Heng Wang; Senlin Yin; Gongyang Chen; Baotong Huang; Pei Yang; Feng Wang

Petrophysics 65 (04): 548–564. https://doi.org/10.30632/PJV65N4-2024a9

Abstract

View articletitled, A New Gas Logging Method Based on Semipermeable Film Degasser and Infrared Spectrum

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Journal Paper

What Causes Mud-Logging Mud Gas Response to Vary and Two Techniques to Quantify Mud Gas

William S. Donovan

Petrophysics 65 (04): 565–584. https://doi.org/10.30632/PJV65N4-2024a10

Abstract

View articletitled, What Causes Mud-Logging Mud Gas Response to Vary and Two Techniques to Quantify Mud Gas

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Journal Paper

Optimize Drilling Decisions Based on Real-Time Detected Alkene and Hydrogen at Surface

Khalid Qubaisi; Amjad Kharaba; Richard Hewitt; Milton Sanclemente

Petrophysics 65 (04): 585–592. https://doi.org/10.30632/PJV65N4-2024a11

Abstract

View articletitled, Optimize Drilling Decisions Based on Real-Time Detected Alkene and Hydrogen at Surface

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Journal Paper

Application of GPC-UV Method for Reservoir Fluid Analysis From Drill Cuttings

Tao Yang; Alexandra Cely; Julian Moore; Eric Michael

Petrophysics 65 (04): 593–603. https://doi.org/10.30632/PJV65N4-2024a12

Abstract

View articletitled, Application of GPC-UV Method for Reservoir Fluid Analysis From Drill Cuttings

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Journal Paper

Applying Magnetic Susceptibility to Estimate Permeability From Drill Cuttings: A Case Study Constraining Uncertainty in the Culzean Triassic Reservoir

John Y. Banks; Andrew G. Tugwell; David K. Potter

Petrophysics 65 (04): 604–623. https://doi.org/10.30632/PJV65N4-2024a13

Abstract

View articletitled, Applying Magnetic Susceptibility to Estimate Permeability From Drill Cuttings: A Case Study Constraining Uncertainty in the Culzean Triassic Reservoir

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Journal Paper

LiOBIA: Object-Based Cuttings Image Analysis for Automated Lithology Evaluation

Tetsushi Yamada; Simone Di Santo; Karim Bondabou; Ajeet Prashant; Andrea Di Daniel; Laura Su; Matthias Francois; Khalid Ouaaba; Daniel Lockyer; Romain Prioul

Petrophysics 65 (04): 624–648. https://doi.org/10.30632/PJV65N4-2024a14

Abstract

View articletitled, LiOBIA: Object-Based Cuttings Image Analysis for Automated Lithology Evaluation

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Applying Magnetic Susceptibility to Estimate Permeability From Drill Cuttings: A Case Study Constraining Uncertainty in the Culzean Triassic Reservoir

Unlock Large Potentials of Standard Mud Gas for Real-Time Fluid Typing

Reservoir Fluid Typing From Standard Mud Gas – A Machine-Learning Approach

Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data

Online ISSN 2641-4112
Print ISSN 1529-9074

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