Automated Rod Pumping System Design Selection
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Solution Overview
Problem
Current methods for selecting and designing rod pumping systems for downhole fluid wells are time-consuming and inefficient, requiring manual assembly of data from various manufacturers to predict optimal component compatibility and production rates, lacking an automated process to evaluate and recommend optimal system designs.
Innovation Solution
An automated system utilizing artificial intelligence that prompts users for preferences and inputs, retrieves equipment records from a database, calculates weighted scores for each configuration, and provides feedback to improve scores, comparing multiple designs and suggesting alternatives to optimize rod pumping system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual assembly of data from various manufacturers is used to select rod pumping system components, then individual component specifications can be checked for compatibility, but the process is time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical data assembly and component checking with an automated computer-based system that retrieves equipment records from a database, merges them with case inputs, and automatically evaluates component compatibility through calculated scores, thereby eliminating time-consuming manual operations while maintaining assessment accuracy
Solution Approach 2:
The patent creates standardized equipment records that capture manufacturer specifications and technical attributes, which can be stored in a database and reused across multiple system design evaluations, eliminating the need to manually assemble data from manufacturers for each new project
2Productivity
If computer programs are used to calculate predicted production rates and torque, then computational results can be obtained for multiple items, but there is no automated evaluation and recommendation of optimal system designs
Solution Approach 1:
The patent implements a feedback mechanism where the system calculates multiple scores (gearbox loading score, structure loading score, system efficiency score, rod loading score, minimum polished rod load score, and bottom minimum stress score) for each pumping unit configuration, compares these scores against criteria, and provides feedback in the form of calculated overall scores and recommendations for optimal system design
Solution Approach 2:
The system automatically performs the complete evaluation process without requiring manual intervention - it retrieves equipment records, merges data with case inputs, calculates multiple technical scores, evaluates configurations, and generates recommendations, thereby making the system self-sufficient in optimizing rod pumping system designs
3Reliability
If multiple equipment configurations are evaluated to find optimal system design, then system performance can be optimized, but the complexity of selecting and evaluating components increases
Solution Approach 1:
The patent segments the evaluation process into distinct, manageable components: retrieving equipment records from database, merging records with case inputs, calculating individual scores for different system aspects (gearbox loading, structure loading, system efficiency, rod loading, minimum polished rod load, bottom minimum stress), and combining these into an overall evaluation score, thereby simplifying the complex evaluation process into systematic steps
Data Source
AI summary
A method to select, evaluate and recommend optimal rod pumping system design for a downhole well. The method includes the steps of selecting at least one downhole rod type as a setup preference, selecting at least one pumping unit type as a setup preference, and selecting at least one motor power meter type as a setup preference. Well information, including depth of a pump and run time, is entered as a case input. Additionally, a target production for the well is entered. Records are retrieved from a database wherein the records contain input data on each downhole rod type, each pumping unit type, and each pump motor type. Data is merged from all the case inputs, all of the setup preferences, and from the database records. Scores of gearbox loading, structure loading, system efficiency, rod loading, minimum polished rod loading and bottom minimum stress are calculated and then combined to determine a calculated percentage score for each pumping unit type for the downhole well.