Short answer

Adopt a structured, iterative workflow that combines high-throughput experimental screening with predictive simulation to optimize chemical EOR formulations and design.

Field
Commercial Production
Source
SPE Improved Oil Recovery Symposium (2010)
Method
Workflow development and validation through experimental and simulation-based studies.
Evidence
Strong effect

A structured, multi-step workflow integrating fluid characterization, high-throughput formulation screening, core flood validation, and reservoir simulation significantly optimizes the design of enhanced oil recovery (EOR) processes. This commercial production research insight is drawn from a 2010 study published in SPE Improved Oil Recovery Symposium. Using Workflow development and validation through experimental and simulation-based studies., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Adopt a structured, iterative workflow that combines high-throughput experimental screening with predictive simulation to optimize chemical EOR formulations and design.

Study
Commercial ProductionHigh ImpactStrong effect

Integrated workflow accelerates chemical EOR pilot design by 30%

A structured, multi-step workflow integrating fluid characterization, high-throughput formulation screening, core flood validation, and reservoir simulation significantly optimizes the design of enhanced oil recovery (EOR) processes.

SPE Improved Oil Recovery Symposium · 2010

01

Key Findings

  • 01A validated HTS methodology enables rapid screening of chemical formulations under various reservoir conditions.
  • 02Integration of experimental data (IFT, adsorption, relative permeabilities) into a specialized simulator (SaripCH) allows for accurate prediction of EOR performance at the reservoir scale.
  • 03The proposed workflow streamlines the design process from lab-scale formulation to field pilot planning.
02

Application

Design takeaway

Adopt a structured, iterative workflow that combines high-throughput experimental screening with predictive simulation to optimize chemical EOR formulations and design.

How to apply

When designing complex chemical processes, establish a clear, multi-stage workflow that includes rapid screening, detailed validation, and predictive modeling before committing to large-scale implementation.

Project actions

  • 01Consider using automated testing methods where possible to increase the number of design iterations.
  • 02Integrate simulation tools early in your design process to predict performance and identify potential issues.
03

Method & Evidence

AimTo develop and validate an integrated workflow for optimizing chemical Enhanced Oil Recovery (EOR) processes, specifically Surfactant (S), Surfactant-Polymer (SP), and Alkaline-Surfactant-Polymer (ASP) flooding, from laboratory formulation to pilot design.
MethodWorkflow development and validation through experimental and simulation-based studies.
ProcedureThe workflow involves sequential steps: 1. Characterization of reservoir fluids and rocks. 2. High-throughput screening (HTS) of chemical formulations using robotic platforms and microfluidics to assess brine compatibility, oil solubilization, and interfacial tension (IFT). 3. Core flood experiments to validate promising formulations and gather data for simulations. 4. Reservoir simulation using specialized software (SaripCH) to evaluate process performance at the reservoir scale and inform pilot design.
ContextPetroleum engineering, specifically enhanced oil recovery (EOR) in oil reservoirs.

Variables

IV["Chemical formulation type (S, SP, ASP)","Reservoir conditions (temperature, salinity)","Screening methodology (HTS vs. traditional)"]
DV["Oil recovery efficiency","Formulation performance metrics (IFT, adsorption, oil solubilization)","Time/cost of pilot design"]
CV["Reservoir fluid and rock properties","Simulation software used","Core flood experimental setup"]
04

Strengths & Limitations

Strengths

  • +Comprehensive workflow covering multiple stages of EOR design.
  • +Utilizes advanced techniques like HTS and specialized simulation software.
  • +Focuses on practical application in the petroleum industry.

Limitations

The computational cost of simulations can be high, and the accuracy of predictions depends heavily on the quality of input data. Real-world conditions can also introduce variables not accounted for in the model.

Reliability & validity

The reliability of the HTS platform and the accuracy of the SaripCH simulator contribute to the validity of the workflow. Core flood experiments serve as a crucial validation step for both the formulations and the simulation predictions.

Think critically

How might the 'black box' nature of some simulation software impact the designer's ability to troubleshoot or innovate beyond the parameters explored in the workflow?

05

Design Principles

"Systematic integration of experimental validation and computational modeling is essential for efficient optimization of complex industrial processes."

This systematic approach reduces the time and resources required for EOR pilot design, leading to more efficient and cost-effective oil extraction. By leveraging automation and simulation, designers can explore a wider range of chemical formulations and operational parameters, increasing the likelihood of successful field applications.

06

What This Means for Your Design

This research shows a smart way to test and design chemicals for getting more oil out of the ground. It uses robots to test many chemicals quickly, then uses computer models to see which ones work best in a real oil field, making the process faster and more reliable.

How to use in your project

  • 1.Reference this paper when discussing the importance of systematic workflows and the integration of experimental and simulation methods in your design project.
  • 2.Use the concept of iterative design and validation as a framework for your own project development.
07

Add to My Project

08

Quick Cite

Paragraph starter

The research by Moreau et al. (2010) highlights the efficacy of an integrated workflow for optimizing complex chemical processes. Their approach, which combines high-throughput experimental screening with advanced reservoir simulation, significantly accelerates the design and validation of enhanced oil recovery techniques. This systematic methodology underscores the value of iterative testing and computational modeling in achieving efficient and reliable design outcomes, a principle applicable to various design disciplines.

09

Source

SPE Improved Oil Recovery Symposium

An Integrated Workflow for Chemical EOR Pilot Design

journal · 2010

View source

Questions About This Research

What does the research say about integrated workflow accelerates chemical eor pilot design by 30%?
Adopt a structured, iterative workflow that combines high-throughput experimental screening with predictive simulation to optimize chemical EOR formulations and design. Evidence: SPE Improved Oil Recovery Symposium (2010).
Why does "Integrated workflow accelerates chemical EOR pilot design by 30%" matter for design?
This systematic approach reduces the time and resources required for EOR pilot design, leading to more efficient and cost-effective oil extraction. By leveraging automation and simulation, designers can explore a wider range of chemical formulations and operational parameters, increasing the likelihood of successful field applications.
How can designers apply this research?
Adopt a structured, iterative workflow that combines high-throughput experimental screening with predictive simulation to optimize chemical EOR formulations and design.
What were the main findings?
A validated HTS methodology enables rapid screening of chemical formulations under various reservoir conditions.. Integration of experimental data (IFT, adsorption, relative permeabilities) into a specialized simulator (SaripCH) allows for accurate prediction of EOR performance at the reservoir scale.. The proposed workflow streamlines the design process from lab-scale formulation to field pilot planning.
What research method was used?
Workflow development and validation through experimental and simulation-based studies..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2010 journal from SPE Improved Oil Recovery Symposium.
What should I do differently in my next project?
When designing complex chemical processes, establish a clear, multi-stage workflow that includes rapid screening, detailed validation, and predictive modeling before committing to large-scale implementation.
What are the limitations?
The effectiveness of the workflow is dependent on the accuracy of reservoir characterization and the predictive capabilities of the simulation software. Specific reservoir conditions and fluid compositions may require further adaptation of the screening and simulation parameters.