Application of Intelligent Completion Technology to Optimize the Reservoir Management of a Deepwater Gulf of Mexico Field — A Reservoir Simulation Case Study

1999 ◽  
Author(s):  
Stephen Rester ◽  
Jacob Thomas ◽  
Madeleine Peijs-van Hilten ◽  
William L. Vidrine
Keyword(s):  
Gulf Of Mexico ◽  
Reservoir Simulation ◽  
Reservoir Management

South Diana, Gulf of Mexico, U.S.A.: A Case Study in Reservoir Management of a Compacting Gas Reservoir

2005 ◽  
Author(s):  
Kurt Thomas Guenther ◽  
D. Sam Perkins ◽  
Bruce A. Dale ◽  
Rahul Pakal ◽  
Phillip L. Wylie
Keyword(s):  
Gulf Of Mexico ◽  
Reservoir Management ◽  
Gas Reservoir

South Diana, Gulf of Mexico, U.S.A.: A Case Study in Reservoir Management of a Compacting Gas Reservoir

2005 ◽  
Author(s):  
Kurt Thomas Guenther ◽  
D. Sam Perkins ◽  
Bruce A. Dale ◽  
Rahul Pakal ◽  
Phillip L. Wylie
Keyword(s):  
Gulf Of Mexico ◽  
Reservoir Management ◽  
Gas Reservoir

A PREVIEW TO THE DIGITAL COMPONENT IN THE NEW WIRELINE FORMATION TESTING ERA: GULF OF MEXICO CASE STUDY

2020 ◽  
Author(s):  
German Garcia ◽  
◽  
Hadrien Dumont ◽  
Simon Edmundson ◽  
Chris Babin ◽  
...  
Keyword(s):  
Gulf Of Mexico

Production Optimization of Heterolithic Reservoirs through Completion Strategy and Reservoir Management: A Case Study of Cream Field

2014 ◽  
Author(s):  
Asmau Nayagawa ◽  
Kefe Amrasa ◽  
Olukayode Ayeni ◽  
Abdul-Wahab Sa'ad ◽  
Olaseni Osho
Keyword(s):  
Reservoir Management ◽  
Production Optimization

Probabilistic Analysis by Applying Uncertainty Worflows: A Case Study of the Teak Field, East Coast Trinidad

2014 ◽  
Author(s):  
C.J.. J. Segnini ◽  
M.. Rashwan ◽  
M.J.. J. Hernandez ◽  
J. A. Rojas ◽  
M.A.. A. Infante
Keyword(s):  
Reservoir Simulation ◽  
Probabilistic Analysis ◽  
East Coast ◽  
Dynamic Properties ◽  
Large Population ◽  
Model Performance ◽  
Current Standard ◽  
Modeling Software ◽  
Uncertainty Analyses

Abstract This paper presents a methodology for the probabilistic analysis of an infill or step-out opportunity using numerical simulation. Sensitivity and uncertainty analyses for all involved parameters were evaluated through different experimental design techniques. Subsequently, a proxy model was established to reproduce the numerical model performance. Finally, three appropriate solutions were selected from a large population of realizations corresponding to probabilistic percentiles (90%, 50%, and 10% certainty that the specified volume will be recovered). This proposed methodology helped the asset team to evaluate the well candidates more precisely, confidently, and in less time than the current standard methodology. More knowledge about the variables and their effects on overall outcomes was also gained, which helped the team make more-informed decisions. The workflow used the same numerical modeling software, incorporating and facilitating the changes of both static and dynamic properties simultaneously. A case study from Teak field, on the east coast of Trinidad, illustrates the applicability of the methodology and compares its results to those obtained using the standard workflow for the asset. The methodology is one of the latest developments in reservoir simulation, and it has not yet been incorporated into the operator's common practices and procedures for exploitation of the TSP fields.

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