--> Bonga 702 and 690 Reservoirs: Loop Scale Seismic Interpretation and Modeling Sub-Seismic Reservoir Architecture for Reservoir Performance Prediction, by Ciaran O'Byrne, Carlos Pirmez, Mark Barton, Frans Van der Vlugt, Irene Espejo, Arfan Khan, and Wilbert Bernard; #90037 (2005)

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Bonga 702 and 690 Reservoirs: Loop Scale Seismic Interpretation and Modeling Sub-Seismic Reservoir Architecture for Reservoir Performance Prediction

Ciaran O'Byrne1, Carlos Pirmez1, Mark Barton2, Frans Van der Vlugt2, Irene Espejo2, Arfan Khan1, and Wilbert Bernard1
1 Shell International E&P Inc, Houston, TX
2 Shell International Exploration and Production, Houston, TX

The Shell operated giant Bonga Main field, Nigeria comprises Miocene reservoirs deposited within healed slope accommodation across a stepped slope profile. This paper focuses on the depositional architecture and potential future production performance of the 702 and 690 reservoirs. The 702 reservoirs represent a period when step entry rise to step floor gradient was highest with net accumulation across the step in the form of low aggradation channel complexes represented in the current data by a single seismic loop (wavelet). Healing of step relief at this scale resulted in up-dip erosional knick point migration and dissection of the 702 reservoir sands. Subsequent deposition of the multi-loop 690 reservoirs are interpreted to reflect a steepening of the healing slope gradient through time with a corresponding lower entry to floor gradient and an increase in net bypass of turbulent flows. There is a clear relationship between reservoir depositional architecture and the evolution of healed slope accommodation through time.

Early appraisal and development planning identified a need to better constrain the distribution and character of heterogeneities within the 702 and 690 reservoirs. A multi-disciplinary team was engaged to build fine-scale sector models of these reservoirs, with the aim to further evaluate initial production scenarios and test critical sensitivities for pre-production planning, and successfully constrain a range of development scenarios for the field. Simulation results, compared to initial production data, should provide the basis for a more detailed understanding of reservoir drainage and influence the design of early intervention procedures and infill drilling.