Standardized Well ESP Appliance Architecture for Data Processing
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Solution Overview
Problem
The complexity of processing large data sets from upstream hydrocarbon operations hinders efficient optimization of well exploration, service, and production operations, requiring manual evaluation and stopping of processes to adjust control strategies, which is inefficient and costly.
Innovation Solution
An engineered appliance or software program with a suite of applications and interfaces provides an optimization tool for analyzing and processing data using a standardized platform, reducing costs and improving accuracy through pre-installed, pre-certified applications and streamlined data handling systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual evaluation and analysis of large data sets is used, then interpretation accuracy may be improved, but operational efficiency and processing speed deteriorate
Solution Approach 1:
The patent introduces an automated data processing system that acts as an intermediary between raw data collection and human interpretation. This system pre-processes, filters, and organizes large data sets, presenting only relevant information to operators, thereby maintaining interpretation accuracy while dramatically improving processing speed and operational efficiency.
Solution Approach 2:
The system performs preliminary data processing, validation, and organization before human operators review the information. By pre-filtering and structuring data sets, the system eliminates the need for operators to manually evaluate entire data sets, thus maintaining accuracy while reducing processing time and operational delays.
2Productivity
If standardized processing platforms are implemented, then workflow efficiency and cost-effectiveness improve, but flexibility in handling unique reservoir conditions may deteriorate
Solution Approach 1:
The standardized processing platform is designed with dynamic, configurable parameters and modular components that can be adjusted based on specific reservoir conditions. This allows the system to maintain standardization benefits for workflow efficiency while adapting its processing algorithms and parameters to handle unique geological and operational conditions encountered during well exploration and production.
Data Source
AI summary
A well exploration, services and production architecture for access to one or more well exploration, services or production (ESP) applications may be configured such that standardization of the one or more components provides for operability across multiple platforms. A deployment blueprint may specify parameters that must be met by a well ESP appliance deployed to provide access to one or more well ESP applications. Deployment rules may be based on the deployment blueprint that provides for order of deployment of components and constraints associated with packaging the components, including one or more well ESP applications, in a container. A user interface accesses the well ESP applications of the well ESP appliance based on an authorization or verification of the user. To maintain access to all data by all users, data storage for all processes of any components, including the well ESP applications, is hosted at a remote file storage system.


