RPA Daily Well Reporting for Structured and Unstructured Data

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Solution Overview

Problem

The manual process of generating daily well reports in high-pressure high-temperature environments is tedious, prone to human errors, and poses health, safety, and environmental risks, while lacking a systematic approach to integrate structured and unstructured data for accurate reporting.

Innovation Solution

Implementing Robotic Process Automation (RPA) to integrate and perform statistical calculations on both structured and unstructured data from various sources, generating reports that facilitate predictive maintenance and real-time monitoring, reducing human intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data copying is used from different sources, then engineers can generate reports, but human errors increase and report credibility decreases

Engineering Contradiction:

Improvereport credibilityVSAvoiddata accuracy

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system performs self-service by automatically collecting data from multiple sources, integrating it through RPA, and generating reports without human intervention. This eliminates manual copying errors and improves both reliability and measurement precision through automated, consistent data processing.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of copying data is replaced with an automated RPA system that uses software robots to extract, integrate, and process data from multiple sources. This substitution eliminates human error and improves data accuracy while maintaining report generation capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual report generation is used, then reports can be produced, but engineers' time is wasted and productivity decreases

Engineering Contradiction:

Improvereport generation efficiencyVSAvoidengineers' time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The RPA system performs self-service by automatically executing the entire report generation process including data collection, integration, and report creation. This frees engineers from manual work, improving productivity and eliminating time loss while maintaining comprehensive report generation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system enables continuous automated report generation without interruption by RPA bots that operate continuously to collect data, integrate it, and produce reports. This continuous automated action improves productivity while eliminating the time engineers would spend on repetitive manual tasks.

Inventive Principle:

Principle #20Continuity of useful action

3Object-affected harmful factors

If manual data handling is used, then reports can be completed, but HSE issues arise due to human error

Engineering Contradiction:

ImproveHSE risksVSAvoidreport accuracy

Core Design Contradiction:

Object-affected harmful factorsVSReliability

Solution Approach 1:

The manual mechanical process of handling data is replaced with automated RPA systems that eliminate human error. This substitution directly reduces HSE risks associated with manual operations while improving report accuracy through consistent, error-free automated data processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically validating and processing data without human intervention, eliminating the HSE risks associated with manual data handling. This improves reliability by ensuring accurate, consistent processing while reducing harmful factors through complete automation.

Inventive Principle:

Principle #25Self-service

4Adaptability or versatility

If structured and unstructured data are handled separately, then data processing is simple, but integration capability is insufficient

Engineering Contradiction:

Improvedata integration capabilityVSAvoidprocessing system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The RPA system performs multiple functions including collecting data from various sources, integrating both structured and unstructured data, performing statistical calculations, and generating reports. This universal system handles diverse data types seamlessly, improving adaptability while managing complexity through unified automation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The RPA bot acts as an intermediary that bridges structured and unstructured data sources, automatically extracting, integrating, and harmonizing data from different formats. This intermediary approach improves integration capability while managing complexity through standardized automated processes.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250244744A1Leveraging robotic process automation for maximum efficiency in generating daily report

Publication Date: 2025.07.31 SAUDI ARABIAN OIL CO

AI summary

A method and a system are disclosed. The method includes obtaining raw data from a plurality of sources. The plurality of sources includes sensor readings, generated reports, operational parameters, and production rates, wherein the raw data includes organized data and unorganized data. The method further includes integrating, using a robotic process automation (RPA), the organized data and the unorganized data and performing a plurality of statistical calculations on the integrated data. A report is generated based on the performed statistical calculations and a maintenance operation is performed in response to the report.