--> --> Abstract: Depth Imaging Strategy for Low Relief Carbonate Platform Giant Oil Field Offshore Abu Dhabi, United Arab Emirates, by Naeema Khouri, Raed El-Awawdeh, Jie Zhang, Zyg J. Shevchek, Raffaella Montelli, Joe Reilly, Peter Traynin, and G. Zelewski; #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

Depth Imaging Strategy for Low Relief Carbonate Platform Giant Oil Field Offshore Abu Dhabi, United Arab Emirates

Naeema Khouri1; Raed El-Awawdeh1; Jie Zhang1; Zyg J. Shevchek1; Raffaella Montelli2; Joe Reilly2; Peter Traynin2; G. Zelewski2

(1) ExxonMobil Upstream Research Company, Houston, TX.

(2) ZADCO, Zakum Development Company, Abu Dhabi, United Arab Emirates.

An offshore Abu Dhabi low relief carbonate platform giant oil-field is characterized by various structural complexities that significantly affect reservoir and deeper level intervals. Inter-bedded clastics and carbonates within the overburden produce rapid velocity inversions and lateral variations that cannot be explicitly accommodated by time Previous HitmigrationNext Hit algorithms. Imaging challenges due to shallow geology, such as presence of faulting and small scale features of about 500m or smaller in diameter. Project goal was to determine the potential uplift to interpretation of depth imaging over conventional time Previous HitmigrationNext Hit, including the time stretched to depth technique. The depth imaging velocity model created as a result of this project accounts for both the long and the short wavelength velocity anomalies and was constructed by explicitly including all available well data information, interpretation and seismic velocity information. Due to seismic data high amplitude coherent and random noise, strategic data conditioning flows were applied to ensure that high frequency data was retained in the stack, to attenuate the noise, mitigate acquisition footprint and some of the overburden effects. To limit the Previous HitmigrationNext Hit noise and to better account for the effects of the small scale structures, hybrid time/depth imaging scheme was created which utilizes 3D dynamically corrected Previous HitDMONext Hit sub bin stacks, followed by zero offset wave equation Previous HitmigrationNext Hit. This was determined to be more effective than a conventional Kirchhoff approach. The Previous HitmigrationNext Hit of each individual offset group with a velocity model that honors the 3D complexity found in the overburden allows each offset group to focus differently, thus providing uplift over the post-stack depth Previous HitmigrationNext Hit, without sacrificing the benefits of signal-to-noise enhancement through sub-stack. To accurately evaluate the potential interpretation uplift of prestack over post stack depth imaging and time imaging, it was necessary to implement a fairly exotic post-Previous HitmigrationNext Hit processing flow to ensure that the depth imaging products had similar signal-to-noise, wave-shaping and de-multiple characteristics as the time migrated products. Results from time-to-depth stretching, time Previous HitmigrationNext Hit, post-stack depth Previous HitmigrationNext Hit, prestack depth Previous HitmigrationNext Hit, and conventional Kirchhoff prestack time (or depth) Previous HitmigrationTop comparisons will be demonstrated and discussed.