Seismic reservoir characterization in the Thunder Horse field has always been a challenge primarily due to illumination issues related to the salt canopy present above the reservoir structure. Seismic data acquisition, processing and imaging technologies have significantly improved since the field was discovered in 1999 (Hartman et al., 2015). In 2015 we acquired a 3D Ocean Bottom Nodes (OBN) survey to improve structural and stratigraphic image quality for well positioning, enhanced attribute fidelity for reservoir characterization, and a baseline for future 4D monitor surveys (Chakraborty et al., 2017, Hartman et al., 2017). In this paper we show that this OBN data has allowed the application of our stochastic inversion workflow (ODiSI) (Connolly and Hughes, 2016) for reservoir property prediction. We demonstrate that the ODiSI process, based on matching a large number of pseudowells to color-inverted partial angle stacks, can be used to estimate reservoir properties, facies probabilities, and associated uncertainties. The significant uplift in amplitude fidelity provided by the OBN data has been a key enabling factor for this seismic analysis workflow.
Presentation Date: Tuesday, September 17, 2019
Session Start Time: 8:30 AM
Presentation Start Time: 11:00 AM
Location: 217A
Presentation Type: Oral
