Downhole Stimulation Perforation Placement via Composite Quality Indicators
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Solution Overview
Problem
Current oilfield stimulation operations face challenges in optimizing perforation placement and fracture design in unconventional reservoirs, such as tight gas sandstone and shale formations, due to the complexity of natural fractures and stress variations, leading to inefficient hydrocarbon production.
Innovation Solution
The method involves generating composite quality indicators from multiple logs, combining them with stress logs to define stages, and selectively positioning perforations based on classifications to optimize perforation placement and fracture design, using a reservoir-centric, integrated approach that incorporates multi-disciplinary data and semi-automated or automated processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional stimulation operations are performed without integrated multi-disciplinary data analysis, then the operation process is simpler, but the productivity and hydrocarbon production are reduced due to inefficient perforation placement
Solution Approach 1:
The patent combines multiple disciplinary data sources (geological, geophysical, petrophysical, and engineering data) into an integrated reservoir model. This merging of previously separate analysis streams enables optimized perforation placement and fracture design, directly improving hydrocarbon production while managing complexity through unified software integration.
Solution Approach 2:
The software system performs multiple functions within a single integrated platform: data acquisition from various sources, reservoir modeling, perforation optimization, fracture design, and production prediction. This multi-functionality improves productivity without proportionally increasing operational complexity, as one system replaces multiple separate tools and processes.
2Manufacturing precision
If perforations are placed without considering stress variations and natural fracture complexity, then the placement process is faster, but the manufacturing precision and fracture propagation control are reduced
Solution Approach 1:
The system performs preliminary analysis of stress variations and natural fracture patterns before finalizing perforation placement. By pre-processing geological and geophysical data to identify optimal zones and potential challenges, the system achieves precise perforation placement while reducing the time required during actual stimulation operations, as decisions are pre-informed by integrated modeling.
Solution Approach 2:
The software creates virtual models and simulations of the reservoir, stress fields, and fracture propagation patterns before actual perforation and stimulation. These digital copies allow for testing and optimization of placement strategies without physical trial-and-error, achieving high precision while minimizing time loss through virtual rather than physical iteration.
3Stability of the object's composition
If stages are defined without composite quality indicators, then the classification process is simpler, but the reliability and homogeneity of stimulation stages are reduced
Solution Approach 1:
The patent creates composite quality indicators by integrating multiple data types (lithological properties, reservoir quality metrics, stress characteristics, and fracture potential) into a unified classification framework. This composite approach ensures homogeneous stage definitions that reflect the complex interplay of multiple geological and engineering factors, improving stage reliability while managing complexity through systematic data integration.
4Productivity
If manual data analysis methods are used, then the equipment cost is lower, but the productivity and accuracy of well planning are reduced
Solution Approach 1:
The integrated software system incorporates feedback loops where simulation results and production predictions feed back into the reservoir model and staging design. This iterative feedback process continuously refines the analysis, improving well planning productivity and ensuring complete data integration by constantly comparing predicted versus actual performance and adjusting parameters accordingly.
Data Source
AI summary
A system and method for performing stimulation operations at a wellsite having a subterranean formation with of a reservoir therein is provided. The method involves generating a plurality of quality indicators from a plurality of logs, and combining the plurality of quality indicators to form a composite quality indicator. The plurality of stress blocks may then be merged using diversion criterion. The composite quality indicator may be combined with the merged stress blocks to form a combined stress and composite quality indicator, the combined stress and composite quality indicator comprising a plurality of blocks with boundaries therebetween. The method may further comprise defining stages along the combined stress and composite quality indicator based on the diverter-assisted stage classifications; and selectively positioning perforations in select stages based on the diverter-assisted stage classifications thereon.