Vivek Muralidharan Simulation and imaging experiments of fluid flow through a fracture surface: a new perspective.

Slides:



Advertisements
Similar presentations
Empirical Factors Leading to a Good Fractured Reservoir Early recognition of fractures High fracture intensity & good connections Good interaction between.
Advertisements

Qatar Carbonates and Carbon Storage Research Centre 1 Dynamic Imaging of Reaction at Reservoir Conditions, Considering the Influence of Chemical Heterogeneity.
Visit from DONG Energy Åsmund Haugen, Bergen, 9 jan
Presentation to Repsol by MYS on 9/13/06 Well Completion Design for Tight-Gas Formations M. Y. Soliman, PhD September 20, 2006 Mendoza, Argentina.
Propagation of Error Ch En 475 Unit Operations. Quantifying variables (i.e. answering a question with a number) 1. Directly measure the variable. - referred.
SPE PP A Method for Probabilistic Forecasting of Oil Rates in Naturally Fractured Reservoirs Julio César Muñoz Blanco y Rafael Paz Palenzuela, CBM.
Phase Behavior Solid Organic Precipitation and Mobility Characterization Studies in Support of Enhanced Viscous Oil Recovery On Alaska North Slope
Kinematic Routing Model and its Parameters Definition.
Development of a Reservoir Simulator with Unique Grid-Block System
Pioneer Natural Resources
E. Putra, Y. Fidra and D.S. Schechter
Usage of X-ray CT in Dual Porosity Simulation. Prasanna K Tellapaneni.
K. Nazridoust, G. Ahmadi, and D. H
CIPC Application of X-Ray CT for Investigation of CO 2 and WAG Injection in Fractured Reservoirs D. Chakravarthy, V. Muralidharan, E. Putra and.
Putra - 05/21/2003Slide - 1 Tamu NFR Research Group Reservoir Characterization and Simulation Group Experimental Group Reservoir Modeling Group.
Overburden Pressure Affects Fracture Aperture and Permeability in a Stress- Sensitive Reservoir Vivek Muralidharan.
Decline Curve Analysis Using Type Curves —
Modeling Fluid Flow Through Single Fractures Using Experimental, Stochastic and Simulation Approaches Dicman Alfred Masters Division.
CE 1501 CE 150 Fluid Mechanics G.A. Kallio Dept. of Mechanical Engineering, Mechatronic Engineering & Manufacturing Technology California State University,
Imbibition Assisted Recovery
Single and multi-phase flows through rock fractures occur in various situations, such as transport of dissolved contaminants through geological strata,
Development of a 2-D Black Oil Reservoir Simulator with Unique Grid-Block System Harold Vance Department of Petroleum Engineering July 7, 2004.
Analysis of Experimental Data for Flow Thorough Fractures using Geostatistics DICMAN ALFRED Dr. ERWIN PUTRA Dr. DAVID SCHECHTER.
Hydrologic Characterization of Fractured Rocks for DFN Models.
Saudi Aramco: Company General Use Testing the Predictive Value of Image-Based Computation of Relative Permeability Yildiray CINAR The 2 nd KFUPM workshop.
Group PresentationOctober 2002 Fluid Flow Through The Fracture under Different Stress-state Condition Vivek Muralidharan Dicman Alfred Dr. Erwin Putra.
Texas A&M UniversityFeb, 2004 Application of X-Ray CT to Investigate Effect of Rock Heterogeneity and Injection Rates During CO 2 Flood Process Deepak.
Introduction to Capillary Pressure Some slides in this section are modified from NExT PERF Short Course Notes, However, many of the slides appears.
Introduction to Effective Permeability and Relative Permeability
3D Images of residual oil in an Ottawa sand Congjiao Xie, Saif Ai-Sayari and Martin Blunt Earth Science and Engineering, Imperial College London.
Upscaling and History Matching of Fractured Reservoirs Pål Næverlid Sævik Department of Mathematics University of Bergen Modeling and Inversion of Geophysical.
Upscaling of Foam Mobility Control to Three Dimensions Busheng Li George Hirasaki Clarence Miller Rice University, Houston, TX.
Modeling and Measuring Water Saturation in Tight Gas Reservoirs Marcelo A Crotti Inlab S.A. INTERNATIONAL SEMINAR ON TIGHT GAS SANDS August 14th – 15th,
Chapter 1 RESERVOIR.
Well Testing
Control Optimization of Oil Production under Geological Uncertainty
1 Study of Pressure Front Propagation in a Reservoir from a Producing Well by Hsieh, B.Z., Chilingar, G.V., Lin, Z.S. May 4, 2007.
1 Modelling Task 8 EBS Task Force Meeting 16, Lund, 28 November 2012 Dr. David Holton Dr. Steven Baxter
OIL RECOVERY MECHANISMS AND THE MATERIAL BALANCE EQUATION
Workflow for Finding Bypassed Reserves in Mature Assets  Real Time Integration of Simulation, Seismic Interpretation, and Geophysics  Best Answers Possible.
Sea Ice Ridging and Rafting Structures on Mars and Earth Laboratory for Remote Sensing and Geoinformatics Department of Earth and Environmental Science.
CS654: Digital Image Analysis Lecture 8: Stereo Imaging.
Numerical Modelling of Capillary Transition zones Geir Terje Eigestad, University of Bergen, Norway Johne Alex Larsen, Norsk Hydro Research Centre, Norway.
Pressure Gauge Load Cell Pressure Release Valve Compression Lid Disc Backers Base Water Fz Air Core Bushing W.L. Gore – Lateral Permeability Test Device.
Author: Professor Jon Kleppe
Propagation of Error Ch En 475 Unit Operations. Quantifying variables (i.e. answering a question with a number) 1. Directly measure the variable. - referred.
Ran Qi, Valcir T Beraldo, Tara C LaForce, Martin J Blunt Design of CO 2 storage in aquifers 17 th Jan Imperial College Consortium on Pore-Scale Modelling.
Permeability Fracture Permeability
Statistics Presentation Ch En 475 Unit Operations.
History Matching Flowmeter Data in the Ghawar Field
Linear hydraulic fracture with tortuosity: Conservation laws and fluid extraction M. R. R. Kgatle and D. P. Mason School of computational and applied mathematics.
Case Study : History Matching of Well by Predictive Material Balance Term Project : Advanced Reservoir Engineering Presented By, Namit J Jaiswal B.E (Chemical)
Chapter 8: Internal Forced Convection
Ongoing and Future Work Computed Tomography (CT) Scanning of Cores CT scanning of rock cores enable non-destructive fine scale characterization of rock.
North Texas Earthquake Study Group EARTHQUAKES AND FLUID DISPOSAL – A HISTORICAL PERSPECTIVE Acknowledgements: Cliff Frohlich and the USGS Earthquake Hazards.
SEISMIC ATTRIBUTES FOR RESERVOIR CHARACTERIZATION
Measurement and Control of Reservoir Flow
Capillary End Effects during Core Flooding – Analytical Solutions and Capillary Numbers accounting for Saturation Functions Pål Østebø Andersen, Postdoc.
Date of download: 11/7/2017 Copyright © ASME. All rights reserved.
Decline Curve Analysis Using Type Curves —
Establishing Patterns Correlation from Time Lapse Seismic
Statistics Presentation
CHAPTER 6 Viscous Flow in Pipes
Upscaling of 4D Seismic Data
Fluid distribution in a rough fracture
Introduction to Effective Permeability and Relative Permeability
Brent Lowry & Jef Caers Stanford University, USA
SCRF High-order stochastic simulations and some effects on flow through heterogeneous media Roussos Dimitrakopoulos COSMO – Stochastic Mine Planning.
Magnetic Resonance Imaging of Oil/Water Flow through Fractures
Presentation transcript:

Vivek Muralidharan Simulation and imaging experiments of fluid flow through a fracture surface: a new perspective

Log Analysis Fracture Characterization Aperture distribution Fracture Model Fractured Reservoirs Poor recovery Laboratory Experiments Simulation X-ray CT scanner

Presentation Outline Historical PerspectiveHistorical Perspective Objectives and ApproachObjectives and Approach ApplicationsApplications Conclusions

Fracture Model Historical perspective w Constant fracture aperture

Historical perspective Cubic Law Aperture Size

Parallel Plate Assumption w Single Fracture Aperture

Fracture Aperture Fracture roughness Better History Match Realistic simulation model

Fracture Aperture Distribution Fracture aperture distribution Pyrak-Nolte et al., (1987) Tsang et al., 1987 Gale, 1987 Keller, (1996) Lognormal distribution for natural fractures

Log-Normal Mean Log-Normal Deviation Variable ( Aperture ) Apertures distributed log-normally Lognormal Function

Generation of apertures

Smooth fracture surface Aperture Distribution

Slightly rough fracture surface

Highly rough surface fracture Aperture Distribution Larger Aperture Size

Problems Aperture distribution is proved for fractures without experiencing any stress. Aperture distribution has not yet been investigated under different stress condition. Single fracture aperture does not represent the actual flow through fracture

Presentation Outline Historical PerspectiveHistorical Perspective Objectives and ApproachObjectives and Approach ApplicationsApplications Conclusions

Objectives X-ray CT scanner Stress Aperture distribution? Aperture distribution has not yet been investigated under different stress condition. Problem:

Objectives X-ray CT scanner Gravity drainage experiment Single fracture aperture does not represent the actual flow through fracture Problem:

Aperture distribution under stress using X-ray CT scanner

Experiments in X- ray CT scannerApproach Scan Scans at multiple locations Calibration Aperture Distribution

X-ray CT Scanner CT scanner analyzes density differences between objects Matrix and fracture identification Density of rock Density of fluid in fracture

Pixel number CT number X-ray CT Scans Matrix Fracture CT numbers are different from actual aperture size Calibration Technique to correlate CT to obtain fracture aperture size No direct measurement of fracture aperture

Scanned the core between feeler gauges Calibration Procedure Smooth surface Feeler gauge of known size

Calibration Procedure Fracture Matrix

Min rock CT Calibration Procedure Integrated CT area

Calibration Curve Feeler gauge size

Calibration curve Integrated CT area Scans of fractured core of unknown apertures Fracture aperture

Calibration Curve Determination of fracture aperture

Aperture Distribution

Scans taken along the length of the core

Animation Apertures along the length of the core No stress 500 psi 1000 psi 1500 psi

Apertures 90 sections 70 locations Around 6000 sections Four different stress conditions apertures Apertures are calculated from calibration curve

Aperture Distribution without stress Lognormal distribution Mean = σ =

Aperture Distribution with stress Mean = , σ = Mean = , σ =

Aperture Distribution with stress Mean = , σ = Mean = , σ = Mean = , σ =

Aperture Distribution with stress Mean = , σ = Mean = , σ = Mean = , σ = Mean = , σ =

Aperture Distribution with stress Aperture distribution follows Lognormal distribution at all conditions

Highly rough surface fracture Larger Aperture Size Fracture apertures have to be distributed Lognormal Distribution

Presentation Outline Historical PerspectiveHistorical Perspective Objectives and ApproachObjectives and Approach ApplicationsApplications Conclusions

Experimental Procedure Unfractured Core pp Pressure Drop K m  q inj /  p Matrix Permeability q inj Injection rate 5 cc/min 500,1000, 1500

matrix fracture l Experimental Procedure Fractured Core  p avg Average Pressure Drop K avg  q inj /  p avg Average Permeability q inj Injection rate 5 cc/min

Analytical Equations

Fracture Permeability Area of fracture Matrix Permeability Area of matrix Average Permeability Total area of core

Analytical Equations Combining above equations to determine w w A d matrix fracture Fracture Permeability Cubic Law

Fracture Aperture

Fracture Permeability

Fracture Flowrate 500 Psi 1000 Psi 1500 Psi

Flow through fracture and matrix Flow through fracture

Flow through fracture and matrix Flow through fracture Flow through matrix

Modeling Laboratory Experiment Simulation model using aperture distribution

Simulation Model Model Description 10x10x15 grids Fracture in 8 th block in K dirn i j k

Injector Water Injection Producer - matrix Matrix Production rate Producer - fracture Fracture Production rate Water prod

Aperture distribution in fracture region Aperture distribution maps Lognormal Mean eff aperture variance 500 psi 1000 psi 1500 psi

Example flow on the distributed fracture surface

Flow Through Matrix and Fracture Flow through fracture Flow through matrix

Pressure drop

Objectives X-ray CT scanner Gravity drainage experiment

Approach Gravity Drainage Experiment

X-Ray Detector X-Ray Source Brine X-ray CT scan

Fluid flow pattern 0 min 12 min

Parallel Plate Experiment Simulation

Flow on a smooth fracture surface

Lognormal distribution Fluid flow using aperture distribution

Saturation Experiment Simulation

Presentation Outline Historical PerspectiveHistorical Perspective Objectives and ApproachObjectives and Approach ApplicationApplication Conclusions

Fluid flow experiments under stress Recap

Gravity drainage experiment

Conclusions Fracture Aperture Lognormal distribution Parallel plate assumption valid Distributed apertures Realistic flow behavior Better History Match

Acknowledgement Dr. D. S. Schechter, Texas A&M University Dr. Erwin Putra, Texas A&M University Mr. Dicman Alfred, Schlumberger Department of Energy (D.O.E) for sponsoring the project.

Thank You