Vertical and horizontal pressure depletion trends captured by AVA Geostatistical Inversion conditioned reservoir modeling: An example from Late Messinian lacustrine turbidities reservoirs, Nile Delta, Egypt.

Vaughan, R.D.; Ali, Mohamed A.; Mustafa, A.; Adly, T.; Sulistiono, Denny; Petrov, A.

doi:10.2523/17514-ms

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“…Five permeability rock types were derived from Hg-injection capillary pressure data. Saturation height functions were then introduced for each rock type [Vaughan 2014]. Each probability was history matched to the observed pressure depletion within the Upper and Lower Abu Madi reservoir.…”

Section: Figure 6 -The Top Picture Shows the Overlaid Of Measured (Blmentioning

confidence: 99%

Integrating Seismic and Well Data into Highly Detailed Reservoir Model through AVA Geostatistical Inversion

Sulistiono

Vaughan²,

Ali³

et al. 2015

Day 3 Wed, November 11, 2015

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Building a reservoir model by integrating seismic angle stacks and well data has been challenging for oil and gas companies. Seismic data contain very detailed information of reservoir properties lateraly but lack vertical resolution while well data provide very detailed information vertically but lack horizontal information. One established method of integrating these two kinds of data is deterministic seismic inversion. Deterministic seismic inversion has proven to be a good method in delineating the reservoirs at seismic resolution but it has limitation in analyzing thin reservoirs and it only pruduced one result. Geostatistical seismic inversion method has the ability to integrate many types of data and produce multiple relaizations of the results. The realizations are at much higher details than seismic data and are able to capture thin reservoirs.An AVA geostatistical seismic inversion workflow was successfully implemented to produce highly detailed reservoir models of Abu Madi reservoir sands in Nile delta, Egypt. Abu Madi Formation is composed of lacustrine turbidite deposits in semi-isolated basin and can be subdivided into Upper and Lower reservoirs. Intraformational shale baffles occur quite commonly within Abu Madi Formation which acted as barriers of pressure depletion between the Upper and Lower reservoirs. Well data analysis has demonstrated the complex pattern of the stacked reservoir sand zones of heterogeneous reservoir parameters and pressure trends. The main objective of the study was to produce reservoir models that could be used to understand the observed pressure depletion trends within the Upper and Lower Abu Madi reservoirs which have great significance for effective field management.Seismic angle stacks and well data were integrated through AVA geostatistical inversion to produce highly detailed lithotype and elastic property results at 0.5 ms vertical sampling. Thesse models have successfully captured the shale baffles. Lithotype and elastic property realizations were used to cosimulate for reservoir (engineering) properties of Effective Porosity and Volume of Clay. The Effective Porosity and Volume of Clay realizations were then ranked to provide the P10, P50 and P90 models to be used as input for dynamic flow simulation. Five permeability rock types were derived based on extensive SCAL database and used to define the permeability and saturation models. These detailed engineering models were used for dynamic flow simulation and successfully predicted the pressure depletion trends in the Abu Madi reservoirs.

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Section: Figure 6 -The Top Picture Shows the Overlaid Of Measured (Blmentioning

confidence: 99%

Integrating Seismic and Well Data into Highly Detailed Reservoir Model through AVA Geostatistical Inversion

Sulistiono

Vaughan²,

Ali³

et al. 2015

Day 3 Wed, November 11, 2015

View full text Add to dashboard Cite

show abstract

Vertical and horizontal pressure depletion trends captured by AVA Geostatistical Inversion conditioned reservoir modeling: An example from Late Messinian lacustrine turbidities reservoirs, Nile Delta, Egypt.

Cited by 1 publication

References 0 publications

Integrating Seismic and Well Data into Highly Detailed Reservoir Model through AVA Geostatistical Inversion

Integrating Seismic and Well Data into Highly Detailed Reservoir Model through AVA Geostatistical Inversion

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