AI Process Simulation Assistant for Faster Oil and Gas Analysis

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Process engineers lack the expertise or time to effectively utilize process simulators for oil and gas processing facilities, and automated systems fail to provide automatic root cause analysis and action plans.

Innovation Solution

A process simulation assistant agent utilizing generative artificial intelligence (AI) to interpret user inputs, simulate scenarios, and generate actionable insights for oil and gas processing facilities, including training a large language model (LLM) to understand user prompts, fetch domain knowledge, and execute simulator tools.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If process engineers use process simulators manually, then simulation quality is high, but time consumption and expertise requirement increase

Engineering Contradiction:

Improvesimulation qualityVSAvoidtime consumption

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system enables process simulators to serve themselves through automated execution of simulation workflows. The platform automatically manages simulation tasks, coordinates between multiple simulator instances, and generates reports without requiring manual intervention for each simulation step, thus maintaining high simulation quality while reducing time consumption

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operation of process simulators with an automated digital system. The platform uses software-based workflow automation, API integrations, and programmable execution to substitute the manual steps of model setup, parameter input, and result analysis, thereby reducing expertise requirements and time investment

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If process engineers manually operate simulators, then simulation accuracy is maintained, but expertise requirement increases

Engineering Contradiction:

Improvesimulation accuracyVSAvoidexpertise requirement

Core Design Contradiction:

Manufacturing precisionVSEase of operation

Solution Approach 1:

The platform introduces an intermediary layer between the user and the complex simulator software. This intermediary provides user-friendly interfaces, automatic parameter mapping, and built-in guidance that translate simple user inputs into accurate simulation setups, maintaining simulation accuracy while reducing the expertise barrier

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system automatically manages and optimizes simulation parameters based on predefined best practices and domain knowledge. By dynamically adjusting parameters such as model complexity, convergence criteria, and computational resources, the platform maintains accurate simulations while abstracting away the complexity from the user

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated systems process data without human expertise, then productivity increases, but analysis quality decreases

Engineering Contradiction:

Improveprocessing speedVSAvoidanalysis quality

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The platform incorporates feedback mechanisms where simulation results are automatically validated against predefined criteria and domain knowledge bases. The system identifies and corrects errors in automated analysis, ensuring high analysis quality while maintaining high processing speeds through continuous feedback loops

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The platform is designed to handle multiple types of data and simulation tasks universally. It can process various data formats, execute different simulation workflows, and generate diverse output types through a single unified system, thereby increasing productivity across multiple functions while maintaining consistent analysis quality through standardized validation protocols

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Adaptability or versatility

If multiple simulator instances are executed, then problem-solving capability increases, but system complexity increases

Engineering Contradiction:

Improveproblem-solving capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The platform segments the simulation execution system into independent, modular simulator instances that can be launched and managed separately. Each simulator instance operates as an independent unit with its own configuration and results, allowing the system to handle complex problems through parallel execution while keeping individual components simple and manageable

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260064923A1Process simulation assistant agent based on generative ai

Publication Date: 2026.03.05 SCHLUMBERGER TECH CORP

AI summary

A method for simulating a process in a new or existing oil and/or gas processing facility includes receiving a user prompt from a user with an application. The method also includes transmitting the user prompt from the application to a trained large language model (LLM) agent. The method also includes transmitting suggested tool values and/or suggested parameter values from the trained LLM agent to the application based upon the user prompt. The method also includes transmitting a tool request from the application to a simulator based upon and/or in response to the suggested tool values and/or the suggested parameter values. The method also includes transmitting a tool output from the simulator to the application to the trained LLM agent based upon and/or in response to the tool request. The method also includes generating a response based upon the user prompt and the tool output using the trained LLM agent.