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Explore fundamental uncertainties in CO2 storage in Nugget Suite, focusing on potential leakage hazards and influential factors. Research involves data collection, geological modeling, and reservoir simulation to analyze factors like heterogeneity, boundary conditions, and facies distribution. Ongoing work includes investigating porosity trends and alternative simulation methods.
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Understanding the fundamental uncertainties related to CO2geologic storage A case study in Nugget Suite west of Hogback thrust Guang Yang, MS Candidate
Introduction • Basic workflow in reservoir modeling and simulation structural modelinglithofaciesmodelingpetrophysicalmodelingupscaling(if applicable)flow simulation • Uncertainties associated with these steps • Possible pollution to shallow freshwater • Identify the most influential factor(s) controlling CO2 storage, leakage and potential hazards
Research approach • Data Collection Collect as much data as we can get (including analog data) • Geological modeling Using hierarchical modeling and most reasonable geostatistical scheme • Reservoir Simulation Freshwater and saline water interface change? • Sensitivity Analysis Experimental Design
Data Collection • Geophysical & geological data • Water chemistry data • No seismic data • Engineering data Core measurements Well-log data • Data sources: NETL Rocky Mountain Basins Produced Water Database Wyoming EOR Reservoir Database Wyoming Oil & Gas Conservation Commission(Well logs)
Study site Nugget Suite After Lamerson, 1983
Geological analog • Data in nearby production fields • Data in other eolian sandstone formation literature reference Our Model Domain Kupfersberger and Deutsch, 1999
Uncertainties • Heterogeneity of the reservoir at various scales • Fracture (enhanced vertical permeability) • Boundary condition (sealing fault or non-sealing fault, recharge rate) • Facies distribution (probability maps & vertical proportion curve3d-cube?) • Porosity and permeability distribution trend & depth trend • Relative permeability hysteresis
Preliminary results *Preliminary facies interpretation of the model with the location of injection wells *Limited well data to generate 3d facies distribution probability cube
Preliminary results • Porosity depth trend which would be incorporated into porosity modeling
Preliminary results • Kv/Kh, Khmax/Kh90deg which would be incorporated into permeability modeling Based on core measurements at nearby sites
Flow Simulation • Eclipse Gaswater • Eclipse CO2STORE(need to extract a part of the model) (Salinity tracking, no water-rock interaction) • 267,500 grid cells • Relative permeability curves (Bennion and Bachu, 2005, 2006) • Zero capillary pressure • Injection started from Jan. 2010, stopped in 2060. Monitored till 3410 • Initial Condition & Boundary Condition(Aquifer Modeling) Hydrostatic, constant head for i+,j+,j- boundaries.i-,k+,k-closed. • Bottom Wellbore Pressure constraint (Zhou et al., 2008) 1.8*hydrostatic pressure
Preliminary Simulation Result 1 Gas saturation change in injector3 1 Gas saturation change in injector 4
Ongoing work • Investigate the possible 3 zones of nugget sandstone as indicated by data From the W29-12 well in Anschutz Ranch East Field,Lindquist,1986
Ongoing work • Possible porosity distribution based on data from other sites (Can we infer the porosity trend based on that?)
Ongoing work Using alternative facies & petrophysical property simulation methods: *Combining SIS and annealing method (Christopher J. Murray, AAPG book,1994) *Gaussian collocated cosimulation algorithm (Alberto, AAPG book, 1994, Y. Z. Ma SPE, 2008)
Ongoing work • Investigate how to generate a saline water and freshwater interface or salinity distribution in Petrel