Geological Modeling Using Paleographic Maps and MRS Facies
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Solution Overview
Problem
Conventional methods for modeling complex geological sequences are inadequate for representing new actual surfaces within a gross interval thickness, particularly in pro-gradational clinoform-dominated portions, as they assume parallel and conformable geometric patterns or require high-quality seismic data, which is not always available.
Innovation Solution
A computer-implemented method that calculates gross interval thickness using seismic horizons or well tops, identifies MRS shoreline facies positions, and creates conceptual geologic rules for each system tract interval based on lateral zones, allowing for the creation of new actual top surfaces and improved well positioning across the entire depositional sequence, even with sparse data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If conventional proportional layering techniques are used to model geological sequences, then parallel and conformable geometric patterns can be created, but the method fails to accurately represent pro-gradational clinoform-dominated portions of the depositional sequence
Solution Approach 1:
The patent segments the depositional sequence into distinct systems tracts (lowstand, transgressive, highstand) based on paleographic map features such as maximum regressive surface (MRS) and maximum flooding surface (MFS). This segmentation allows each tract to be modeled with appropriate geometric characteristics rather than forcing a single parallel pattern throughout, thereby accurately representing pro-gradational clinoforms in the lowstand portion while maintaining conformable patterns in other portions.
Solution Approach 2:
The patent applies different geometric rules and proportional relationships to different systems tracts and lateral zones. For example, the lowstand systems tract uses pro-gradational clinoform geometry while the transgressive and highstand tracts use conformable parallel layering. This local differentiation of geometric quality allows the model to accurately represent the varying depositional architecture throughout the sequence.
2Productivity
If automated seismic horizon tracking is used to create 3D subsurface models, then time-stratigraphic surfaces can be extracted, but the technique becomes impossible in regions of poor quality seismic data
Solution Approach 1:
The patent introduces paleographic maps as an intermediary data source that bridges the gap between seismic data and geological understanding. These maps, derived from well control and facies analysis, provide stratigraphic framework information that can be integrated with seismic data. This intermediary allows the model to be constructed using multiple data sources rather than relying solely on seismic horizon tracking, making the method applicable even in regions with poor seismic quality.
Solution Approach 2:
The patent creates a universal modeling approach that can handle multiple data types and quality levels. The system integrates seismic data, well control, paleographic maps, and facies data into a single cohesive model. This multi-functional approach allows the same methodology to work across different data quality conditions, making the model building process universally applicable whether seismic data is high quality or not.
3Measurement precision
If proportional layering is applied across the entire subsurface model, then chronostratigraphic models can be created, but the method cannot accurately model pro-gradational clinoforms
Solution Approach 1:
The patent implements dynamic proportional relationships that can adapt to different depositional conditions. The proportional layering is not applied uniformly but is adjusted based on the systems tract and lateral zone. The model dynamically changes the proportional relationships between stratigraphic layers to accommodate pro-gradational clinoforms in the lowstand portion while maintaining appropriate proportions in transgressive and highstand portions, thereby achieving both precision and versatility.
Data Source
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AI summary
Systems and methods for modelling complex geological sequences representing new actual surfaces within a gross interval thickness using geologic rules based on facies data and paleographic maps represented by MRS shoreline facies.