Short answer

Design and implement integrated solutions that combine advanced simulation, efficient deployment mechanisms, and refined analytical interpretation to improve data acquisition and analysis in challenging industrial contexts.

Field: Commercial Production
Source: North Africa Technical Conference and Exhibition (2010)
Method: Systematic approach including numerical simulation for test design, coiled tubing-conveyed intelligent bottomhole assembly for execution, and advanced analytical interpretation.
Evidence: Strong effect

A novel three-fold approach combining advanced simulation, efficient coiled tubing deployment, and refined analytical interpretation significantly improves the reliability of reservoir data acquisition in challenging non-naturally flowing wells. This commercial production research insight is drawn from a 2010 study published in North Africa Technical Conference and Exhibition. Using Systematic approach including numerical simulation for test design, coiled tubing-conveyed intelligent bottomhole assembly for execution, and advanced analytical interpretation., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design and implement integrated solutions that combine advanced simulation, efficient deployment mechanisms, and refined analytical interpretation to improve data acquisition and analysis in challenging industrial contexts.

Study

Commercial ProductionHigh ImpactStrong effect

Optimized Impulse Testing Delivers Reliable Reservoir Data for Non-Flowing Wells

North Africa Technical Conference and Exhibition · 2010

Key Findings

01A new numerical simulator can design impulse tests to maximize depth of investigation while ensuring interpretable data.
02Coiled tubing deployment can reduce operating times in certain environments compared to conventional methods.
03An improved analytical solution accounting for wellbore fluid density variation and exponential variable skin enhances data interpretation accuracy.
04The combined approach successfully delivered valid data sets for reservoir evaluation.

Application

Design takeaway

How to apply

When designing well testing procedures for difficult-to-test wells, consider a multi-faceted approach that includes simulation-driven design, optimized deployment methods, and advanced interpretation techniques to ensure data quality and operational efficiency.

Project actions

01When designing a test or experiment, think about how simulation, execution, and analysis can work together.
02Consider how different technologies (like coiled tubing) can improve efficiency in a practical setting.

Method & Evidence

AimTo develop and validate an optimized impulse testing methodology that yields reliable reservoir evaluation data for non-naturally flowing wells, overcoming the limitations of conventional techniques.

MethodSystematic approach including numerical simulation for test design, coiled tubing-conveyed intelligent bottomhole assembly for execution, and advanced analytical interpretation.

ProcedureThe study involved designing the impulse test using a new numerical simulator to maximize investigation depth, deploying a coiled tubing-conveyed bottomhole assembly for efficient execution, and interpreting the collected data using both traditional and a new analytical solution that accounts for wellbore fluid density variation and variable skin.

ContextOil and gas reservoir evaluation, particularly in mature fields with non-naturally flowing wells.

Variables

IV["Test design parameters (e.g., surge volume, shut-in duration) optimized by simulator.","Deployment method (coiled tubing vs. conventional).","Analytical interpretation model (traditional vs. improved)."]

DV["Reliability and interpretability of reservoir data.","Depth of investigation.","Operating time/cost."]

CV["Wellbore fluid properties (density, viscosity).","Formation characteristics (permeability, skin)."]

Strengths & Limitations

Strengths

+Addresses a practical and costly problem in the energy sector.
+Combines multiple innovative elements (simulation, hardware, advanced analysis).
+Provides a systematic approach with validation through field data.

Limitations

The complexity of the analytical solution might be difficult to implement without specialized software. Field-specific conditions (like extreme temperatures or pressures) could affect the performance of coiled tubing and bottomhole assemblies.

Reliability & validity

The study's reliability is supported by the use of a systematic approach and field data validation. Validity is enhanced by comparing results from multiple interpretation methods and addressing complexities like fluid density variation.

Think critically

How might the 'depth of investigation' be quantified and validated in this context, and what are the potential trade-offs between maximizing this depth and ensuring data interpretability?

Design Principles

"Integrated system design for enhanced data acquisition and analysis."

Accurate reservoir characterization is critical for efficient resource extraction and production planning. This research offers a method to overcome data acquisition challenges in mature fields, reducing costs and time associated with traditional testing methods and enabling better-informed operational decisions.

What This Means for Your Design

This research shows a better way to test oil and gas wells that don't naturally produce fluid. By using smart computer programs to plan the test, special equipment to run it, and improved math to understand the results, they get more accurate information about the underground oil or gas reservoir, saving time and money.

How to use in your project

1.Reference this study when discussing the importance of integrated design approaches for complex industrial testing procedures.
2.Use it to justify the selection of specific simulation or analytical tools in your own design project.

Add to My Project

Quick Cite

Paragraph starter

The research by Guichard et al. (2010) highlights the significant benefits of an integrated approach to impulse testing in the oil and gas industry. Their work demonstrates how combining advanced numerical simulation for test design, efficient coiled tubing deployment, and a refined analytical interpretation method can overcome the inherent challenges of testing non-naturally flowing wells, leading to more reliable reservoir evaluation. This integrated methodology underscores the importance of considering the entire testing process as a system to maximize data quality and operational efficiency.

Source

North Africa Technical Conference and Exhibition

The First Successful ImpulseTest on Coiled Tubing Results in Reliable Reservoir Evaluation for Non-naturally Flowing Wells

journal · 2010

View source

Questions About This Research

What does the research say about optimized impulse testing delivers reliable reservoir data for non-flowing wells?: Design and implement integrated solutions that combine advanced simulation, efficient deployment mechanisms, and refined analytical interpretation to improve data acquisition and analysis in challenging industrial contexts. Evidence: North Africa Technical Conference and Exhibition (2010).
Why does "Optimized Impulse Testing Delivers Reliable Reservoir Data for Non-Flowing Wells" matter for design?: Accurate reservoir characterization is critical for efficient resource extraction and production planning. This research offers a method to overcome data acquisition challenges in mature fields, reducing costs and time associated with traditional testing methods and enabling better-informed operational decisions.
How can designers apply this research?: Design and implement integrated solutions that combine advanced simulation, efficient deployment mechanisms, and refined analytical interpretation to improve data acquisition and analysis in challenging industrial contexts.
What were the main findings?: A new numerical simulator can design impulse tests to maximize depth of investigation while ensuring interpretable data.. Coiled tubing deployment can reduce operating times in certain environments compared to conventional methods.. An improved analytical solution accounting for wellbore fluid density variation and exponential variable skin enhances data interpretation accuracy.. The combined approach successfully delivered valid data sets for reservoir evaluation.
What research method was used?: Systematic approach including numerical simulation for test design, coiled tubing-conveyed intelligent bottomhole assembly for execution, and advanced analytical interpretation..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2010 journal from North Africa Technical Conference and Exhibition.
What should I do differently in my next project?: When designing well testing procedures for difficult-to-test wells, consider a multi-faceted approach that includes simulation-driven design, optimized deployment methods, and advanced interpretation techniques to ensure data quality and operational efficiency.
What are the limitations?: The effectiveness of coiled tubing deployment may vary depending on specific wellbore environments. The analytical solution's accuracy is dependent on the validity of its assumptions regarding fluid density variation and skin behavior.