--> Abstract: Detailed Compositional Modeling of Gas Injection Pilot in Giant Carbonate Reservoir in the Middle-East, by Tawfiq A. Obeida, Adrian Gibson, Bikram Baruah, and Hussain Al Hashemi; #90105 (2010)

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AAPG GEO 2010 Middle East
Geoscience Conference & Exhibition
Innovative Geoscience Solutions – Meeting Hydrocarbon Demand in Changing Times
March 7-10, 2010 – Manama, Bahrain

Detailed Compositional Modeling of Gas Injection Pilot in Giant Carbonate Reservoir in the Middle-East

Tawfiq A. Obeida1; Adrian Gibson1; Bikram Baruah1; Hussain Al Hashemi1

(1) RDD, ADCO, Abu Dhabi, United Arab Emirates.

The objective of this paper is to address the main challenges that have been encountered in the simulation study when using local grid refine (LGR) within upscaled models. The challenges are mainly due to the unreliability of populating the fine grids with reservoir properties and attributes.

Dynamic modeling of a pilot is an important task to predict fluid flow and reservoir behavior which is a major step of pilot design. Dynamic models usually have many limitations when it comes to geological description due to upscaling of fine-grid static model.

Using LGR to cover the pilot area within coarse dynamic model also would not enhance reservoir description in the pilot area as a result of the difficulty of attributes validation.

This work aimed to provide an improved method for proper simulation in order to optimize the design of the pilot injector, borehole location and length, in addition to plan an efficient reservoir monitoring program including an optimized well data gathering with sponge coring for defining the remaining oil saturation.

To overcome these limitations, the proposed method introduces fine scale LGR covering the pilot area then export the LGR to the static model with the same layering scheme of the static model and then import the LGR with fine layering including the properties of geological model into the dynamic sector model. This process will ensure better quality match of the actual TDTs and RSTs, fine layering saturation profiles when compared with the sector model results. Sector model with 160 layers was re-history matched to ensure consistency.

Prediction cases were studied to optimize well location in order to convert the existing inverted five-spot pattern into line-drive. Saturation maps and profiles were generated to predict the breakthrough time for each observer and utilized to design the future pilot monitoring program.