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Published byMaxim Baynard Modified over 9 years ago
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Visit from DONG Energy Åsmund Haugen, Bergen, 9 jan. 2012
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Introduction Rock Water Porosity+ Permeability+ Oil Wettability Water Oil Strongly water-wet Neutrally wet Oil-wet
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Introduction – Fractured Reservoirs
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Objective Study impact form wettability on oil recovery from fractured reservoirs Suggest ways to improve oil recovery
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Controlled laboratory experiments on simplified systems Method of Approach 2D MRI of Fracture 2D MRI of Core 2D NTI 3D MRI Larger Sample Smaller core with fracture Numerical Simulations EOR Sensitivities
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Experimental – NTI - Vertical Flow Rig Rock Sample Nuclear Tracer Imaging Radioactive isotopes are added to fluids Each isotope emmits defined γ-energies Intesity of each energy is detected by germanium detector Intesity related to amount of fluid phase present Co 60
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Experimental – NTI - Vertical Flow Rig Injection Pump Rock Sample Detector Nuclear Tracer Imaging Radioactive isotopes are added to fluids Each isotope emmits defined γ-energies Intesity of each energy is detected by germanium detector Intesity related to amount of fluid phase present
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Experimental – NTI - Vertical Flow Rig Rock Sample Differential Pressure Injection Pump Collimated Germanium Detector Nuclear Tracer Imaging Radioactive isotopes are added to fluids Each isotope emmits defined γ-energies Intesity of each energy is detected by germanium detector Intesity related to amount of fluid phase present
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2.0 T Superconducting Permanent Magnet Electronics Sample Coils Computer Samples are Loaded Here Experimental – MRI
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MRI to image in-situ saturation development Non destructive method Sensitive to hydrogen density (similar in oil and water) D 2 O (heavy water) as it does not reveal any signal in the MRI No magnetic materials close to MRI magnet Epoxy coated rock sample Relatively low pressures Pump MRI Transducer Experimental – MRI
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Experimental – Schedule 1. Coated block with epoxy 2. Measure rock properties Saturate with water Porosity Permeability 3. Drained with oil multi- directionally to S wi 4. Waterflooded with imaging 5. Drained back to S wi 6. Cut and reassembled with fracture network 7. Waterflooded with fractured network with imaging A B C 15 cm 5 cm 9 cm
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Simulation - History matching History matching the waterfloods Production profiles
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Simulation - History matching History matching the waterfloods Production profiles Capillary Pressure Relative Permeabilites
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Simulation - History matching History matching the waterfloods Production profiles In-situ fluid saturation development Matching Procedure Match production/saturation for whole block Adjust relative permeability curves and capillary pressure Use as input for fractured block
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Simulations – The Numerical Model Grid: 100 x 1 x 17 Honour porosity/permeability distribution Additional layers in outlet and inlet (boundary) 99.9% porosity 10 000 mD P c = 0 100% initial oil saturation Wells connections Porosity distribution chalk Porosity distribution limestone
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Simulations – The Numerical Model Grid: 100 x 1 x 17 Honour porosity/permeability distribution Additional layers in outlet and inlet (boundary) 99.9% porosity 10 000 mD P c = 0 100% initial oil saturation Wells connections Fractures 99.9 % porosity 10 000 mD P c = 0 Straight relperm curves 100% initial oil saturation Width of 0.01 cm → 0.1 mm
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Nuclear Tracer Imaging
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Experiment Simulation Simulation – Pc = 0 in fracture
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Experiment Simulation Simulation – Pc = 0 in fracture
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Experiment Simulation Simulation – Pc = 0 in fracture
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Experiment Simulation Simulation – Pc = 0 in fracture
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Experiment Simulation Simulation – Pc = 0 in fracture
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Experiment Simulation Simulation – Pc = 0 in fracture
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Experiment Simulation Simulation – Pc = 0 in fracture
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A B C Simulation – Capillary Contact
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P c = 0 Capillary Contact Simulation – Capillary Contact
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P c = 0 Capillary Contact Simulation – Capillary Contact
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P c = 0 Capillary Contact Simulation – Capillary Contact
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P c = 0 Capillary Contact Simulation – Capillary Contact
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P c = 0 Capillary Contact Simulation – Capillary Contact
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P c = 0 Capillary Contact Simulation – Capillary Contact
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P c = 0 Capillary Contact
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Magnetic Resonance Imaging
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.05 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.10 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.13 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.17 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.19 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.22 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.26 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.28 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.31 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.35 PV
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ExperimentalNumerical Simulation – Strongly Water-Wet Chalk 0.44 PV
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Simulation – Summary SSW case Recovery mechanism Capillary dominated imbibition Large influence of fractures Block-by-block displacement Excellent reproduction of experiment
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Simulation – Oil-Wet Limestone ExperimentalNumerical 0.00 PV
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ExperimentalNumerical Simulation – Oil-Wet Limestone 0.05 PV
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ExperimentalNumerical Simulation – Oil-Wet Limestone 0.10 PV
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ExperimentalNumerical Simulation – Oil-Wet Limestone 0.13 PV
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ExperimentalNumerical Simulation – Oil-Wet Limestone 0.16 PV
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ExperimentalNumerical Simulation – Oil-Wet Limestone 0.19 PV
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ExperimentalNumerical Simulation – Oil-Wet Limestone 1.15 PV
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Simulation – Summary OW case Recovery mechanism Viscous displacement Large influence of fractures Reduced sweep – low recovery No apparent fluid transport to matrix Excellent reproduction of experiment
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Fractured Blocks - Simulation Weakly oil-wet Strongly water-wet Numerical Experimental
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Conclusions Matching both production and in-situ fluid distribution gave higher confidence in simulations Fractures were explicitly represented in the numerical model and confirmed to have significant impact on recovery and fluid flow dynamics. Capillary contact across fractures may impact recovery Fracture permeability had large effect on recovery and sweep for oil-wet conditions.
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