Despiking Reservoir Properties via Gaussian Simulation
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Solution Overview
Problem
Hydrocarbon reservoir modeling faces inaccuracies due to spikes or vertical jumps in input data distributions, leading to incorrect simulation and prediction of geomechanical properties.
Innovation Solution
A computer system transforms hydrocarbon reservoir property data into a Gaussian distribution using a coordinate-related trend model, adding a data component based on 3D coordinates to each grid cell, and applies sequential Gaussian simulation to remove spikes, enabling accurate geomechanical property simulation without external tools or programming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If input hydrocarbon reservoir property data contains spikes or vertical jumps due to large numbers of similar values, then data processing is simpler, but simulation and prediction accuracy of geomechanical properties deteriorates
Solution Approach 1:
The patent extracts and removes the problematic spike values from the data distribution before simulation. By identifying and eliminating vertical jumps caused by large numbers of similar values, the method prepares a cleaned dataset that maintains processing simplicity while improving simulation accuracy for geomechanical properties
Solution Approach 2:
The patent applies despiking as a preliminary data processing step before simulation. By pre-processing the input data to remove spikes and vertical jumps, the method ensures that subsequent simulations and predictions are based on cleaned data, thereby improving accuracy without complicating the overall workflow
2Measurement precision
If despiking methods are applied to remove spikes in data, then simulation accuracy improves, but computation time increases
Solution Approach 1:
The patent changes the parameter representation by transforming the data distribution through coordinate-related transformations. This approach efficiently removes spikes by altering how data is structured and processed, achieving accurate simulations while maintaining computational efficiency through mathematical transformations rather than exhaustive data processing
3Reliability
If external tools or programming are used to despike data, then despiking capability is enhanced, but device complexity increases
Solution Approach 1:
The patent implements self-service despiking within the existing reservoir modeling software. The coordinate-related transformation method is integrated into the software's native functionality, allowing the system to automatically identify and remove spikes without requiring external tools or additional programming, thereby maintaining system simplicity while enhancing despiking capability
Solution Approach 2:
The patent creates a universal despiking solution that works within the existing software framework. The coordinate transformation approach is generally applicable to various types of reservoir data and can be implemented using the software's existing computational capabilities, eliminating the need for specialized external tools or complex custom programming
Data Source
AI summary
A computer system receives multiple datapoints of a geomechanical property of a hydrocarbon reservoir modeled by a three-dimensional (3D) grid. Each datapoint corresponds to a respective grid cell of the 3D grid. Each grid cell of the 3D grid is represented by 3D coordinates. For each grid cell of the 3D grid, the computer system generates a data component of the geomechanical property based on the 3D coordinates of the grid cell. The computer system adds the data component to a datapoint corresponding to the grid cell to provide an augmented set of datapoints. The computer system transforms the augmented set of datapoints into a Gaussian distribution using Gaussian approximation. The computer system simulates the geomechanical property of the hydrocarbon reservoir based on the Gaussian distribution using sequential Gaussian simulation. A display device of the computer system generates a graphical representation of the geomechanical property of the hydrocarbon reservoir based on the sequential Gaussian simulation.