Decision Support Framework for Well Location at Martin Linge Oil Field (IO13 poster)

Decision Support Framework for Well Location at Martin Linge Oil Field (IO13 poster)

This page is presents a presentation of Projects, Activities, project results etc.

0
No votes yet

users have rated this content. We would love to have your vote as well. Log in and rate!



We present an optimization framework for well placement decision support at the Martin Linge oil reservoir. The framework optimizes jointly for well placement and controls using derivative-free methods for well location, and a gradient-based routine for optimization of well control settings (e.g., bottom hole pressures). A well configuration based on the fixed strategy solution and run on the field's original ECLIPSE field model yields a total field oil production increase of more than 10%. However, a significant part of the increase is attributed to longer wells which are too close to the reservoir boundary. The introduction of well length constraints to the optimization framework is currently underway. This pilot is a collaboration between NTNU IO Center and operator Total E&P Norge AS. This poster was created for presentation at the 2013 IO Conference held September 24-25 in Trondheim, Norway.
Content

An optimization framework is implemented for well placement decision support at the Martin Linge oil field. For optimization purposes, the ECLIPSE field model is transferred to an approximate reservoir model run with ADGPRS. A work process loop describes the collaboration between Industry Partner and IO Center Research Team.

 

Two solutions for well placement configuration are determined using a joint approach with embedded control optimzation and a simplified strategy with fixed control settings. Results from the optimization framework yield increases in total field oil production of 34% and 29% for the joint approachand fixed strategy, respectively.

A well configuration based on the solution from the fixed strategy and run in the original ECLIPSE model yields an increase in total field oil production of more than 10%. This solution is associated with a high degree of uncertainty due to long wells drilled near the reservoir boundary. A maximum well length constraint will be introduced in future optimization runs.

The optimization framework will be extended to include a set of model realizations to increase the robustness of well placement solutions with respect to geological uncertainty.

Other key information

196 results
Below, you will find related content (content tagged with same topic(s) as this presentation)
Content type: Report

Facilitating Adequate Prioritization of Safety Goals in Distributed Teams at the Norwegian Continental Shelf

The paper presents theoretical fundament for developing techniques and tools to support adequate prioritization of safety goals for offshore employees

0
Content type: Publication

Fast Reservoir Characterization and Development of a Field Case Study with Real Production and 4D Seismic Data

This is a PhD thesis written at the Department of Petroleum Engineering and Applied Geophysics, Norwegian University of Science and Technology.

0
Content type: Publication

Fast Reservoir Parameter Estimation by Using Effect of Principal Components Sensitivities and Discrete Cosine Transform

This is a scientific publication written in collaboration with the IO Center

0
Content type: Business case

Field Development Optimization at Martin Linge Oil Reservoir

Application of Decision Support Framework for Well Location

5
Content type: Publication

Flow control of fluids through porous media

This is a scientific publication written in collaboration with the IO Center

0
Content type: Presentation

Flow diagnostics and Voador case using MRST - Status and results

Presentation given at TC-meeting September 2013

0
Content type: Report

Future Collaboration Environments for Risk Informed Decisions

An explorative study on technology for mapping of information and knowledge onto a shared surface to improve risk identification.

5
Content type: Publication

Generalized Reduction Constraints for the Global Optimization of Dynamic Process Networks using Topological Invariants

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Publication

Gradient-based Methods for Production Optimization of Oil Reservoirs

This is a PhD thesis written at the Department of Engineering Cybernetics, Norwegian University of Science and Technology.

0
Content type: Presentation page for handbook

Handbook - The Capability Approach to Integrated Operations

The Capability Approach to Integrated Operations

5

Pages