Diagnostic Application of Reservoir Simulation to 31S Structure Stevens Reservoirs-Elk Hills Oil Field, California.

Ezekwe, Nnaemeka; Echols, Don; Hudgens, Paul

doi:10.2118/46230-ms

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Later, a report by Hampton et al 7 presented a geostatistically based reservoir model of UMBB Reservoir. Original oil-in-place in the MBB/W31S Reservoir was estimated to be 610 MMBO 9 .…”

Section: Applications Of Reservoir Management Principlesmentioning

confidence: 99%

Applied Reservoir Management Principles with Case Histories

Ezekwe

2003

SPE Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractApplications of technically sound reservoir management strategies to new and old reservoirs are important for maximum economic recoveries. Correct identifications of key geologic features, rock properties, state of reservoir fluids and major recovery mechanisms determine applicable reservoir management strategies. The critical decisions are selections of strategies that consider all available data and incorporate current technologies. The management strategies applied must be economic, conserve reservoir energy and adaptable to emerging technologies. Five reservoir management principles are presented as guides for determination and implementation of reservoir management strategies. The reservoir management principles are:1. Conservation of reservoir energy 2. Early implementation of simple strategies 3. Sustained and systematic collection of data 4. Continuous application of improved recovery technologies 5. Long term retention of staff in multi-disciplinary teams Case histories of 26R Reservoir, MBB/W31S Reservoirs, Luling and Slick Reservoirs are reviewed to illustrate the applications of the five reservoir management principles. The main objective of the report is to demonstrate through case histories that applications of the five reservoir management principles lead to technically sound reservoir management strategies that lead to maximum economic recoveries.

show abstract

“…Later, a report by Hampton et al 7 presented a geostatistically based reservoir model of UMBB Reservoir. Original oil-in-place in the MBB/W31S Reservoir was estimated to be 610 MMBO 9 .…”

Section: Applications Of Reservoir Management Principlesmentioning

confidence: 99%

Applied Reservoir Management Principles with Case Histories

Ezekwe

2003

SPE Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

show abstract

Comparison of Predictions from Reservoir Models to Actual Production Data: Field Examples

Ezekwe

2002

SPE Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

Reservoir models were constructed on two gas condensate reservoirs (M-4/M4-A and M-6) in the Gulf of Mexico. The gas reservoirs are at a depth of 15000 feet subsea, over pressured and supported by active aquifers. Initial gas production was essentially water-free with steep pressure decline that was later followed by rapid rise in water production. Peak gas production from either reservoir reached about 166 MMCFPD. The reservoir models were fully compositional. The models were history-matched with production data and then used to predict future performance. This paper compares predictions of the models to actual reservoir production data. The model for the M-6 reservoir predicted gas production with an accuracy of -0.72%, condensate production at +2.80% and water production at +12.4%. The predicted accuracies for the M-4/4A reservoirs are as follows: gas (-0.33%), condensate (-4.99%) and water (+25.56%). The main objective of this paper is to provide data on the errors associated with the use of history matched models to forecast reservoir performance. Surveys of the petroleum literature indicate that they are few technical papers that compare model predictions to actual reservoir performance data over an extended period of time. Mass publications of these types of results are essential in establishing reservoir simulation as a valuable analytical tool for reservoir engineers. It will also improve its acceptance in the petroleum industry as a reliable tool for prediction of reservoir performance. Introduction The M-4/M-4A and M-6 sands are mid-size, over pressured and moderately rich gas condensate reservoirs located in the Gulf of Mexico at a water depth of about 240 feet. At their peak, gas production rate from each reservoir averaged 166 MMCFPD. Production data show that both reservoirs were supported by very strong aquifers. Two fully compositional models were constructed for the M-4/M-4A and M-6 reservoirs. The models were executed on VIP-COMP simulator from Landmark Graphics Corporation. This work is a direct application of reservoir simulation technology for prediction of reservoir performance especially in terms of fluid production rates and cumulative recoveries. The techniques or work processes used in the study are basic and routine. The relevance of the work lies in comparing model predictions to actual production data from the reservoirs. Generally, few technical papers have been published that compare model predictions to actual reservoir performance data over an extended period of time. As reservoir simulation develops into a tool used by most reservoir engineers, experienced practitioners of the art of reservoir modeling must strive to provide to the technical literature data that quantify errors associated with predictions from reservoir models. Concerted efforts in this area is needed at this stage of evolution of reservoir modeling It will accelerate acceptance of reservoir modeling as a reliable tool for prediction of reservoir performance.

show abstract

Diagnostic Application of Reservoir Simulation to 31S Structure Stevens Reservoirs-Elk Hills Oil Field, California.

Cited by 2 publications

References 0 publications

Applied Reservoir Management Principles with Case Histories

Applied Reservoir Management Principles with Case Histories

Comparison of Predictions from Reservoir Models to Actual Production Data: Field Examples

Contact Info

Product

Resources

About