Centralized Data Repository for Hydraulic Fracturing Design Optimization
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Solution Overview
Problem
Current wellbore and completion design processes are inefficient due to the lack of data sharing and centralized analysis, leading to repetitive and labor-intensive simulations, and the inability to generalize complex reservoir models across multiple formations, resulting in suboptimal hydrocarbon production.
Innovation Solution
A centralized data repository system that stores and analyzes simulation models and production data, allowing for self-validation and optimization of well designs, using physics-based and statistical models to reduce computational load and improve design efficiency, and incorporating machine learning algorithms for automated design processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional separate simulation systems are used for reservoir analysis, then each simulation can be run independently, but information cannot be shared between simulations and complex analytical solutions must be generated from scratch each time
Solution Approach 1:
The patent merges multiple separate simulation systems into a unified centralized platform that integrates reservoir simulation, wellbore simulation, completion simulation, and geo-mechanical simulation. This allows information to be shared across all simulation types, eliminating the need to regenerate complex analytical solutions from scratch for each simulation, thereby resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The centralized simulation platform is designed to perform multiple functions including reservoir characterization, wellbore design, completion design, and geo-mechanical analysis within a single integrated system. This universal platform can handle various simulation types while maintaining data sharing capabilities, improving adaptability without proportionally increasing complexity.
2Quantity of substance
If complex relational databases with gridded reservoir volumes are used, then detailed reservoir data can be stored, but the data is difficult to generalize outside the specific formation and requires complex analytical solutions
Solution Approach 1:
The patent creates a virtualized, standardized representation of reservoir data that can be copied and applied across different formations. Instead of storing only gridded data specific to one formation, the system generates generalized models and parameters that can be replicated and adapted to other formations, enabling data generalization while maintaining detailed information capabilities.
Solution Approach 2:
The system transforms detailed gridded reservoir data into standardized parameters and models that can be generalized across different formations. By changing the data representation from formation-specific grids to universal parameter sets, the system maintains the quantity of detailed data while improving its adaptability and generalizability to different reservoirs.
3Productivity
If hundreds of simulation models are generated for uncertainty modeling, then comprehensive design options can be evaluated, but the simulations are stored locally and inaccessible for subsequent well design
Solution Approach 1:
The centralized simulation platform acts as an intermediary that stores and manages simulation results from hundreds of uncertainty models. Instead of local storage that prevents access, the intermediary system maintains a centralized database that makes simulation results accessible for subsequent well design decisions, resolving the contradiction between generating comprehensive design options and maintaining information accessibility.
4Measurement precision
If traditional simulation approaches are used, then detailed reservoir characterization can be performed, but the process is computationally intensive and time-consuming
Solution Approach 1:
The system performs preliminary actions by pre-calculating and pre-processing reservoir parameters, rock properties, and simulation models before actual well design decisions are made. By preparing generalized models and parameter sets in advance, the system reduces the computational time required for subsequent design evaluations while maintaining the precision of reservoir characterization through the use of pre-validated models.
Data Source
AI summary
Systems and methods for generating and storing completion design models in a central data repository of models for completion design, well bore (such as fracturing or drilling) or other operations is shown. In one embodiment, the methods comprise identifying parameters of a hydraulic fracturing operation within a subterranean formation; generating a completion design model based on the parameters of the hydraulic fracturing operation; storing the completion design model in a central data repository of models; generating the central data repository of models; wherein the data repository is based on previously generated models for one or more other subterranean formations having varying levels of uncertainty for expected output; reducing the level of uncertainty for the expected output based on completion parameters, wherein the completion parameters are used to update the central data repository of models; accessing the central data repository of models to predict results expected for a data set based at least in part on the central data repository of models, wherein the results comprise a prediction as to a level of output for the dataset, further wherein the prediction comparison results in an identification of the optimized completion design for the dataset.