Petrophysics

Aims & Scope

Petrophysics contains original contributions on theoretical and applied aspects of formation evaluation, including both open hole and cased hole well logging, core analysis and formation testing.

View Aims & Scope

---

Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.259

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	43

Journal Rank

Year	Value
2024	18232

Journal Citation Indicator

Year	Value
2024	160

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences and Energy, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Review of 60 Years of NMR Wettability

  Citation: 19

  Authors: Andrea, Benjamin

• Intelligent Logging Lithological Interpretation With Convolution Neural Networks

  Citation: 18

  Authors: Liping, Hongqu, Zhongguo, Chengyang, Tile

• Production Monitoring Using Next-Generation Distributed Sensing Systems

  Citation: 15

  Authors: G., C., V.

• Synthetic Sonic Log Generation With Machine Learning: A Contest Summary From Five Methods

  Citation: 15

  Authors: Yanxiang, Chicheng, Siddharth, Weichang, Michael, Wen, Tianqi, Honggeun, Javier E., Lei, Chengran, Arkhat, Valeria, Epo Prasetya, Mohammad, Yogi, Hossein

• 2D Reservoir Imaging Using Deep Directional Resistivity Measurements

  Citation: 15

  Authors: Michael, Michael, Dzevat

• A Machine-Learning-Based Approach to Assistive Well-Log Correlation

  Citation: 14

  Authors: Seth, Alex, Michael, Darrin

• An Unsupervised Learning Algorithm to Compute Fluid Volumes From NMR T1-T2 Logs in Unconventional Reservoirs

  Citation: 12

  Authors: Lalitha, Noyan, David F., Albina, Qun

• New Robust Model to Estimate Formation Tops in Real Time Using Artificial Neural Networks (ANN)

  Citation: 12

  Authors: Salaheldin, Ahmed, Ahmed Abdulhamid

• Borehole Resistivity Measurement Modeling Using Machine-Learning Techniques

  Citation: 12

  Authors: Zeeshan, Abdulazeez, Mohamed, Adil

• Underground Hydrogen Storage in Porous Media: The Potential Role of Petrophysics

  Citation: 11

  Authors: Esuru Rita, Lokesh Kumar, Henry

---