Petrophysical Modeling of a Subterranean Formation

Organization Name

Inventor(s)

Nerio Jose Quintero Tudares of Al Khobar (SA)

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

This abstract first appeared for US patent application 18187472 titled 'Petrophysical Modeling of a Subterranean Formation

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

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

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 distribution in formations

Benefits: - Increased efficiency in resource extraction - Better decision-making in reservoir management - Reduced exploration risks

Commercial Applications: Title: Enhanced Reservoir Characterization for Improved Resource Extraction This technology can be used in the oil and gas industry for optimizing drilling locations, reservoir management, and production strategies. It can also benefit geothermal energy companies in identifying suitable locations for energy extraction.

Prior Art: Prior research in petrophysical modeling and reservoir characterization techniques can provide valuable insights into similar approaches and methodologies used in the industry.

Frequently Updated Research: Stay updated on advancements in petrophysical modeling, reservoir characterization, and mineralogical evaluation techniques to enhance the accuracy and efficiency of subterranean reservoir analysis.

Questions about Petrophysical Modeling of Subterranean Reservoirs: 1. How does probabilistic mineralogical evaluation improve reservoir modeling accuracy?

  Probabilistic mineralogical evaluation incorporates uncertainties in mineral composition, leading to more realistic representations of fluid and mineral volumes in the reservoir.

2. What are the key challenges in predicting permeability distributions in subterranean formations?

  Predicting permeability distributions accurately requires comprehensive data on fluid, mineral, and silt volumes, which can be challenging to obtain in complex geological settings.

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.