Stochastic Volumetrics Assessment
De-Risking Reservoir
An accurate reservoir level depth prediction is important for well planning and potential failure issues. An incorrect depth prognosis can significantly affect the size of the structural/stratigraphy trap impacting gross rock volume (GRV). The GRV depends on the depth of the top of the reservoir, the thickness of the reservoir, and the contact between the hydrocarbons and water level (GWC or OWC). For a known GWC/OWC , an under-estimated or over-estimated depth prognosis of the top of the reservoir will impact GRV (Figure a). If GWC/OWC is un-validated, a wrong depth prognosis of the top of the reservoir can still impact the reservoir structure/trap and thus on the GRV. So an optimum depth prognosis is important for the GRV estimation and also for well planning. A under/overestimation of depth prognosis of the reservoir depth will result in a wrong prognosis of the pressure, leading to a risk of blow-out (Figure b). A major problem with depth uncertainty could lead to missed targets (Figure c). To de-risk, these issues the depth uncertainty of the reservoir should be estimated.
Probabilistic Simulation for evaluating GRV Uncertainty
Geostatistics provides the probabilistic tools for evaluating the uncertainties on the top reservoirs. The probabilistic simulation generates multiple realizations of the uncertain depth surface.
Summarising Uncertainty
Stochastic Volumetrics Assessment
1-8 weeks
Applied Geoscience is a privately owned Sub-Surface Company (AGP) that specializes in seismic processing, velocity modelling, depth conversion & Seismic Uncertainty Evaluation. HQ of AGP is in Perth, Australia with partnerships with leading companies in Calgary, KL, USA & UK.
Areas of expertise include regional & field-scale data integration, seismic and well data interpretation & geophysical support for field development & drilling.
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