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Saudi arabian oil company (20240319404). Petrophysical Modeling of a Subterranean Formation simplified abstract

From WikiPatents

Petrophysical Modeling of a Subterranean Formation

Organization Name

saudi arabian oil company

Inventor(s)

Nerio Jose Quintero Tudares of Al Khobar (SA)

Fatima Alkaba of Dhahran (SA)

Christon Achong of Dhahran (SA)

Majed Fareed Kanfar of Dammam (SA)

Petrophysical Modeling of a Subterranean Formation - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240319404 titled 'Petrophysical Modeling of a Subterranean Formation

The patent application describes methods and systems for petrophysical modeling of a subterranean reservoir by utilizing probabilistic mineralogical evaluation.

  • Generating distributions of values representing fluid volume and mineral volume based on mineralogical evaluation.
  • Determining a distribution of values representing silt volume in the subterranean formation.
  • Creating a model predicting permeability distribution based on the fluid volume, mineral volume, and silt volume distributions.

Potential Applications: - Oil and gas exploration and production - Geothermal energy extraction - Groundwater management and monitoring

Problems Solved: - Improved accuracy in predicting permeability in subterranean reservoirs - Enhanced understanding of fluid and mineral volumes in geological formations

Benefits: - Increased efficiency in resource extraction - Reduced exploration risks - Optimal reservoir management strategies

Commercial Applications: Title: Enhanced Reservoir Characterization Technology for Oil and Gas Industry This technology can revolutionize the way companies explore and exploit subterranean reservoirs, leading to cost savings and improved production outcomes.

Prior Art: Readers can explore prior research on petrophysical modeling, mineralogical evaluation, and permeability prediction in subterranean reservoirs to understand the evolution of this technology.

Frequently Updated Research: Stay updated on the latest advancements in petrophysical modeling, reservoir characterization, and predictive modeling in the oil and gas industry.

Questions about Petrophysical Modeling of Subterranean Reservoirs: 1. How does probabilistic mineralogical evaluation improve reservoir characterization accuracy? 2. What are the key challenges in predicting permeability distribution in subterranean formations?


Original Abstract Submitted

methods and systems for petrophysical modeling of a subterranean reservoir include generating a first distribution of values representing a fluid volume and a second distribution of values representing a mineral volume of the subterranean formation, the generating being based on a probabilistic mineralogical evaluation; determining a third distribution of values representing a volume of silt distribution in the subterranean formation; and generating a model specifying a predicted permeability distribution for the subterranean formation, the model being based on the first distribution of values representing the fluid volume, the second distribution of values representing the mineral volume, and the third distribution of values representing the volume of silt.

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