Determination of Fluid Connectivity in the Middle Marrat of the Jurassic Fields of North Kuwait using Oil Fingerprinting

Author:

Dekker R..1,Tegelaar E..1,Perrotta S..1,Miller S. D.2,Le Varlet X..2,Hasler C-A..2,Narhari S. R.3,Rao J. D.3,Neog N..3,Dwindt A. A.3,Al-Haidar S..3,Dashti Qusem3

Affiliation:

1. Shell Global Solutions International BV

2. Shell Kuwait Exploration & Production

3. Kuwait Oil Company

Abstract

Abstract The primary objective of the present study is to determine the fluid connectivity in the Middle Marrat of the major Jurassic fields in North Kuwait. Understanding fluid connectivity on both geological and production time scales has a direct impact on static and dynamic reservoir modeling, history matching, fluid property variations during production and zonal allocation of comingled production. 123 light oils and condensates were analysed using multi-dimensional gas chromatography (MDGC). The resulting so-called fluid fingerprints were interpreted in the context of a complex geological framework resulting from extensive sedimentological, petrographic, and structural geology studies. A detailed description of different fluid families allowed reconstruction of reservoir connectivity on a geological time scale. Fault transmissibility was reconstructed from the distribution of fluid fingerprints of samples taken during well tests or/and early production representing the fingerprint of the initial fluids in place. Also, the significance and extent of baffles to vertical fluid flow like anhydrites or low permeability streaks could be evaluated. In time-lapse-geochemistry, fluid fingerprints are monitored during production. Changes in fluid fingerprints were interpreted in terms of fluid movement from other reservoirs along fault systems. These changes in fluid fingerprints matched the changes in fluid properties observed during the well testing. In other examples, changing relative contribution of different separate flow zones that are commingled in the subsurface were recognized. The results are used to update/constrain the 3D static & dynamic models. Results help to understand connectivity, fluid flow and Pore Pressure Prediction (PPP) for new wells to be drilled.

Publisher

SPE

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