Daniel Khan Email & Phone Number

Edmonton, Canada Area

Centre for Computational Geostatistics (CCG)Geostatistics R&D and industry consulting services

Quantitative reservoir characterization and modeling supporting oil and gas reservoir development (Re)evaluating existing reserves and resource baseDeveloping reservoir modeling capability, concepts, and technology

Houston, Texas

Modeling specialist with Energy Technology Company. Special projects conducted internationally included:Fluvial facies modeling and gas charge simulation for well spacing optimization in faulted offshore play. Main technique involved percolation migration simulation. Some difficulties conditioning to complex components of physical system.Nonstationary multiple-point simulation (MPS) of prograding deltaic facies architectures. Main aspect was that with Chevron tech. we were able to generate multiple realizations of realistic clinoforms using simple training images. Objective was to evaluate uncertainty in injector-producer connectivity. Geostatistics coupled with tracer simulation for surfactant-polymer flood design. Indicator simulations for permeability with covariance functions tuned based on analysis of simulated interwell tracer test.Experimental design for evaluation of thermal recovery processes including SAGD. Resource classification scheme for thermal development projects based on connectivity and multiple designed parameters Sensitivity analysis and uncertainty quantification for deepwater reservoir waterflood design. Major capital project experience. Frequently invited as subject matter expert for technical peer assists & reviews.

Hydrodynamic mapping in density-dependent formation water flow regimesInterpretation of hydrochemical spatial distributions and paleohydrogeological implicationsQuantitative analysis of hydrodynamically-influenced petroleum migrationPrediction of CO2 flux trajectories in deep aquifers. Part of CO2 aquifer influx risk analysis from injected Weyburn-Midale CO2 flood.Heterogeneity modeling of aquifers using geostatistical and inverse modeling methods. Developed 'gradient-free' stochastic inversion technique based on SPSA optimization algorithm.High-resolution geological and hydrodynamic data integration. This was mainly high-resolution computer mapping of freshwater heads, formation water composition and density through the slices of the Midale subcrop play in the Williston Basin.Primary application of research was for CO2 injection and storage feasibility at reservoir to regional scales as a contributing scientist to the IEA GHG Weyburn-Midale CO2 Storage and Monitoring Research Consortium

Redesigned and reassembled an undergraduate hydrogeology course (EAS 223) with emphasis on adding new material and computer-based learning tools.

Calgary, Ab

Phd, Hydrogeology And Petroleum Geology

Dissertation topics: Gradient-free inverse geostatistical conditioning of heterogeneous reservoir models Interpretation of present-day.

Bsc, Geology

Specialization in Petroleum Geology