Geocellular Formation Modeling via Layer Segmentation
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Solution Overview
Problem
Creating an accurate model of an underground hydrocarbon-bearing formation is time-consuming and complex, requiring integration of data from seismic surveys and boreholes, with existing methods struggling to efficiently update models as new data becomes available.
Innovation Solution
The method involves estimating successions of geological layers based on data from boreholes, calculating vertical transition probabilities, and selecting the most representative succession to match seismic survey data, using geocellular models to simulate hydrocarbon extraction techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to create and update formation models by integrating seismic survey data and borehole data, then model accuracy is improved, but the time required and complexity of the task increase significantly
Solution Approach 1:
The patent segments the formation model into multiple discrete layers, each with specific properties. This segmentation allows the model to be built and updated more efficiently by processing individual layers rather than treating the entire formation as a monolithic structure, thereby reducing the time required while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and organizing seismic survey data and borehole data before model creation. This includes preparing transition probabilities and layer characteristics in advance, which streamlines the subsequent model building and updating processes, significantly reducing the time required for model creation.
2Measurement precision
If traditional methods are used to create and update formation models by integrating seismic survey data and borehole data, then model accuracy is improved, but the complexity of the task increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically processes and integrates seismic survey data and borehole data without requiring manual intervention for each update. The automated processing of transition probabilities and layer properties reduces task complexity by eliminating repetitive manual operations.
Solution Approach 2:
The patent utilizes parameter changes by systematically varying and optimizing the properties of each geological layer (such as porosity, permeability, and thickness) based on the integrated data. This structured approach to parameter management simplifies the complex task of model creation by providing a clear framework for handling multiple variables.
3Reliability
If models are frequently updated with new borehole and seismic data, then model accuracy is improved, but the time and resources required increase
Solution Approach 1:
The patent implements a dynamic model updating approach where the formation model can be efficiently adjusted as new borehole and seismic data become available. The segmented layer structure and pre-processed data allow for rapid incorporation of new information, maintaining model reliability without proportionally increasing update time and resources.
Data Source
AI summary
Models of underground formations. At least some of the illustrative embodiments are methods including creating a model of an underground formation. The creating may include: calculating a set of probabilities associated with a first horizontal location, each probability indicative of a likelihood of finding abutting geological layers; estimating a plurality of successions of geological layers to create a plurality of estimated successions, and the estimating using the set of probabilities; determining, for each of the estimated succession, a value indicative of how closely each estimated succession matches a measured succession, the measured succession determined by a seismic survey; and selecting from the plurality of estimated successions based on the values, the selecting creates a selected succession of geological layers, and the plurality of modeled values associated with the first horizontal location determined based on the selected succession of geological layers.