Sedimentary Flow Simulation Optimization for Seismic Data Matching
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Solution Overview
Problem
Automated analysis of large seismic volumes for sedimentary characterization and optimization of sedimentary flow simulations is challenging due to the complexity of seismic data interpretation and the need for consistent models that align with geological data.
Innovation Solution
The method involves analyzing seismic data to de-compact sedimentary layers, optimizing sedimentary flow simulation parameters to match the modeled volume with seismic data, and using these optimized simulations to model sediment deposition properties, which can inform well drilling trajectories and update during drilling operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sequence stratigraphic analysis is performed, then interpretation accuracy can be maintained, but productivity is severely reduced and the process becomes infeasible for large seismic volumes
Solution Approach 1:
The patent creates a synthetic seismic volume that copies the essential geological characteristics of the actual seismic data through sedimentary flow simulation. This synthetic model can be automatically analyzed and compared with real data, enabling automated interpretation while maintaining accuracy. The copying approach allows manual interpretation methods to be applied to the synthetic model rather than directly to large seismic volumes.
Solution Approach 2:
The sedimentary flow simulation acts as an intermediary between the raw seismic data and the interpretation process. By simulating the deposition processes that created the observed sedimentary layers, the patent provides a mechanistic model that bridges the gap between seismic observations and geological understanding, enabling automated analysis while preserving interpretational rigor.
2Measurement precision
If sedimentary flow simulation parameters are not optimized, then computational speed is maintained, but the accuracy and consistency of subterranean structure modeling deteriorates
Solution Approach 1:
The patent implements an optimization process where the sedimentary flow simulation parameters are adjusted based on how well the simulated sedimentary volume matches the observed seismic data. This feedback loop continues until the model accurately reproduces the geological features, ensuring high modeling accuracy. The automated nature of this feedback process manages the complexity through systematic parameter adjustment.
Solution Approach 2:
The patent performs preliminary optimization of sedimentary flow parameters by matching the simulated volume to seismic data before using the model for exploration purposes. This preliminary action ensures that the model is calibrated and accurate before it is applied to practical problems, establishing a reliable foundation for subsequent analysis.
3Manufacturing precision
If de-compaction of sedimentary layers is performed, then the accuracy of sedimentary volume representation is improved, but the processing complexity and time required increases
Solution Approach 1:
The patent performs de-compaction of sedimentary layers as a preliminary processing step before conducting the sedimentary flow simulation. By removing the effects of compaction early in the process, the patent ensures that the simulated volume accurately represents the original depositional geometry. This preliminary action prevents the need for repeated corrections later in the workflow.
Data Source
AI summary
A computer-based method of optimizing a sedimentary flow simulation is provided. The method includes: providing seismic data for a geological volume, the seismic data comprising one or more sedimentary layers; de-compacting the sedimentary layers to obtain a sedimentary volume; providing a sedimentary flow simulation to model the deposition of the sedimentary volume, the simulation including a plurality of sedimentation process parameters; and optimizing the process parameters to match the modelled sedimentary volume to the sedimentary layers of the seismic data.