NMR Core-Analysis in Unconventional Resource Plays Rice University Consortium on Processes in Porous Media Department of Chemical & Biomolecular Engineering.

Slides:



Advertisements
Similar presentations
Department of Applied Hydrodynamics Laboratory of Applied and Computational Hydrodynamics Laboratory of Experimental Applied Hydrodynamics Laboratory of.
Advertisements

The influence of wettability and carbon dioxide injection on hydrocarbon recovery Saif Al Sayari Martin J. Blunt.
Normal text - click to edit NMR T2 Relaxation for Fluid Saturation and Wettability Determination G. ERSLAND IRTG, Oct. 16 th, 2012.
1 Guangsheng Gu 1 Advisors: George J. Hirasaki 1, Walter G. Chapman 1 Collaborators: Colin A. Zelt 2, Priyank Jaiswal 2 1 Dept. of Chemical & Biomolecular.
Qatar Carbonates and Carbon Storage Research Centre 1 Dynamic Imaging of Reaction at Reservoir Conditions, Considering the Influence of Chemical Heterogeneity.
Branko Bijeljic, Ali Raeini, Peyman Mostaghimi and Martin Blunt What Determines Transport Behaviour in Different Porous Media? Dept. of Earth Science and.
Geological and Petrophysical Analysis Of Reservoir Cores
Tim Armitage.  Shale Gas Reservoir's  The problems with Shale Reservoirs  What is needed to Create a usable model  Possible solutions to Porosity.
A modified Lagrangian-volumes method to simulate nonlinearly and kinetically adsorbing solute transport in heterogeneous media J.-R. de Dreuzy, Ph. Davy,
1 Laboratory MR Measurements and MRIL ® Integration by Dave Marschall.
MRIL OVERVIEW Team One NUMAR / HALLIBURTON. Crucial Formation Evaluation Questions What is the storage capacity (  e and  t ) in a Complex Lithology.
Ground-Water Flow and Solute Transport for the PHAST Simulator Ken Kipp and David Parkhurst.
SAMPLE IMAGE Shale Gas Development: Integrated Approach Hemant Kumar Dixit Mumbai, India 18 January-2013.
Finite-Element-Based Characterisation of Pore- scale Geometry and its Impact on Fluid Flow Lateef Akanji Supervisors Prof. Martin Blunt Prof. Stephan Matthai.
Dr. Mohammed M. Amro Petroleum Engineering Dept. King Saud University Effect of Scale and Corrosion Inhibitors on Well Productivity in Reservoirs Containing.
FLUORINATION WITH REMOTE INDUCTIVELY COUPLED PLASMAS SUSTAINED IN Ar/F 2 AND Ar/NF 3 GAS MIXTURES* Sang-Heon Song a) and Mark J. Kushner b) a) Department.
Saudi Aramco: Company General Use Testing the Predictive Value of Image-Based Computation of Relative Permeability Yildiray CINAR The 2 nd KFUPM workshop.
Vivek Muralidharan Simulation and imaging experiments of fluid flow through a fracture surface: a new perspective.
NMR Measurement and Viscosity Evaluation of Live Bitumen Elton Yang, George J. Hirasaki Chemical Engineering Dept. Rice University April 26, 2011.
Imperial College, PETROLEUM ENGINEERING AND ROCK MECHANICS GROUP 10 th January 2003 PETROLEUM ENGINEERING AND ROCK MECHANICS GROUP Pore Scale Modeling.
Modeling and Measuring Water Saturation in Tight Gas Reservoirs Marcelo A Crotti Inlab S.A. INTERNATIONAL SEMINAR ON TIGHT GAS SANDS August 14th – 15th,
Consortium on Process in porous Media Foam experiments at high temperature And high salinity José López Maura Puerto Clarence Miller George Hirasaki 03/14/2011.
CO 2 Foam Mobility Control and Adsorption with Nonionic Surfactant Michael Guoqing Jian, Leyu Cui, Lisa Biswal, George Hirasaki 04/22/2015.
Solute (and Suspension) Transport in Porous Media
Ron Cherry, Maged Fam and Emiliano López
Principal Investigators: Ding Zhu and A. D. Hill
Rheology of Viscoelastic surfactants and foam in homogeneous porous media Aarthi Muthuswamy, Clarence Miller, Rafael Verduzco and George Hirasaki Chemical.
Annual Review 13th January 2014
CPGE Department Seminar, Apr 18, 2011 Petroleum and Geosystems Engineering The University of Texas at Austin Austin, TX How the pore scale affects the.
Low salinity water flooding Experimental experience and challenges
Modeling and Rendering of Weathered Stone SIGGRAPH 1999 Julie Dorsey Alan Edelman Henrik Wann Jensen Justin Legakis Hans Kohling Pedersen M.I.T. Andrea.
Increased surface area on nanoparticles
Petroleum Engineering 406 Lesson 4 Well Control. Read Well Control Manual –Chapter 9 Homework 2 Due Feb. 3, 1999.
Property Scaling Relations for Nonpolar Hydrocarbons Sai R. Panuganti 1, Francisco M. Vargas 1, 2, Walter G. Chapman 1 1 Chemical and Biomolecular Engineering.
Introduction to NAPLs Review of general concepts
Estimation of parameters for simulation of steady state foam flow in porous media Kun Ma, Sibani Lisa Biswal and George J. Hirasaki Department of Chemical.
CPGE Surfactant-Based Enhanced Oil recovery Processes and Foam Mobility Control Task 4: Simulation of Field-Scale Processes Center for Petroleum and Geosystems.
Application of Asphaltene Deposition Tool (ADEPT) Simulator to Field Cases Yi Chen, Anju Kurup, Walter Chapman Houston, April Department of Chemical.
Geometry Group Summer 08 Series Toon Lenaerts, Bart Adams, and Philip Dutre Presented by Michael Su May
Low–field NMR (or MRI) Images of Laser polarized Noble Gas.
1 Pore-Scale Simulation of NMR Response in Porous Media Olumide Talabi Supervisor: Prof Martin Blunt Contributors: Saif AlSayari, Stefan Iglauer, Saleh.
POROSITY DETERMINATION
Low Field Nuclear Magnetic Resonance High Field (Resolution) NMR: 7.5 T < B < 37 T Study of chemical structures, reactions (only solution) Low Field (Resolution)
CE 3354 Engineering Hydrology Lecture 21: Groundwater Hydrology Concepts – Part 1 1.
Oxygen Potential in High Burnup LWR Fuel using Themochimica in MOOSE/BISON Theodore M. Besmann.
EARS5136slide 1 Theme 6: INTEGRATION OF STRUCTURAL DATA AND RESERVOIR MODELS.
What Determines Transport Behaviour in Different Porous Media?
SHALE OIL EXTRACTION AND CO2 SEQUESTRATION BY A NOVEL METHOD OF HOT GAS INJECTION Michael Youtsos – Energy Group Cambridge University Engineering Department.
Environmental Engineering Lecture Note Week 10 (Transport Processes) Joonhong Park Yonsei CEE Department CEE3330 Y2013 WEEK3.
Chapter 5 Pressure Transient Testing (I)
Brooks-Corey MICP Model Parameters Determination
Hasan Nourdeen Martin Blunt 10 Jan 2017
Wettability in reservoir engineering.
Predicting NMR Response in Micro-CT images and Networks
Date of download: 11/7/2017 Copyright © ASME. All rights reserved.
Unconventional Reservoirs
T H Heat flow across a SiO2 layer EXAS TEC
Lipid Molecules near a repulsive wall
TUHWALP Introduction Cem Sarica.
MRIL Applications Mechanisms of Relaxation Interpreting NMR T2 Spectra
Porosity Logs Shale Density porosity (solid black line)
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
From Microscopic to Mesoscopic Descriptions:
15. Topics not Covered.
Groundwater Learning objectives
Presented by: Brad Cross, ERM October, 2018
Lipid Molecules near a repulsive wall
Surfactant at Oil / Water Interface – Comparison with Simulation
Genzer Research Group How does substrate geometry affect the surface-initiated controlled polymerization? Jan Genzer (Department.
Presentation transcript:

NMR Core-Analysis in Unconventional Resource Plays Rice University Consortium on Processes in Porous Media Department of Chemical & Biomolecular Engineering Philip M. Singer George J. Hirasaki Walter G. Chapman Dilipkumar N. Asthagiri Zeliang Chen Jinlu Liu 4/22/20151

2 Outline 1.NMR Background 2.Porosity Models in Shale 3.Answer-Products in Shale 4.Equipment & Computational Tools 5.Challenges to Investigate

4/22/20153 NMR Background B0B0 NN B1B1 T1T1 T2T2 Logging: detect fluids only Core-analysis: fluids & solids H H H H H H C C H H H H HH H O H H S H C H H H H

44/22/2015 NMR Log Porosity Model TETE Kerogen Structural Water Bitumen Clay Bound Water Irreducible Oil Movable Light Oil

Kerogen Structural Water Bitumen 54/22/2015 NMR Core Porosity Model TETE Irreducible Oil T 2-cutoff Gaussian decay Solid Exponential decay Liquid Clay Bound Water Movable Light Oil

Current: 1.Total porosity: Kerogen (from porosity deficit) 2.Movable fluid porosity: T 2-cutoff (calibrated from core) Research (validate & calibrate with core): 1.Fluid typing (saturation): T 1 / T 2 ratio 2.Pore-size distribution:  T 2 3.Wettability: Restricted D(T 2 ) 4.Permeability transform 4/22/20156 NMR Answer-Products 0.3 T 2 (ms) 5000 E. Rylander et al. SPE (2013)

4/22/20157 Eagle-Ford Tight-Oil Log Calibration with Core 42 API 1500 scf/bbl 2 MHz 100 C T e ~ 0.4 ms P.M. Singer et al. SCA-18 (2013)

Core Re-Saturation 4/22/20158 Zoning As-ReceivedOil Re-Saturated (2000 psi) R. Kausik et al. SCA-73 (2014)

4/22/20159 Pore-Size Distribution T. Jiang et al. SPWLA-LL (2013)  = 5 nm/ms

4/22/ Bulk Crude-Oils Z. Yang et al. JMR-192 (2008) Theory Experiment

4/22/ NMR Core Equipment Low-field 2 MHz Core dia.: 0.5”, 1.0”, 1.5” T E (ms): 0.03, 0.06, 0.1 T 1 - T 2, D - T 2, Profile - T 2 1.0” dia., 0.1 ms 5,000 psi confining 4,500 psi differential 100 C

4/22/ Model hydrocarbon phase-behavior & storage in nano-pores, requires: 1.Hydrocarbon composition 2.Pressure & temperature 3.Pore-size from NMR core data 4.Wettability from NMR core data Model hydrocarbon transport in nano-pores using: In-situ NMR core-flooding data Real-time monitoring of core-flood front Saturated pore-size distribution across core C H H H H C C H H H H HH C H H H H C H H H H C H H H H Kerogen Computational Chemistry

4/22/ Theory and Modeling Atomic length scale Ab initio quantum chemical & empirical force-field based simulations Quasi-chemical theory to interpret simulation results Atomic-to-pore length scale Empirical force-field based simulations + accelerated sampling techniques iSAFT (interfacial Statistical Associating Fluid Theory) Pore-to-core length scale Density functional theory for modeling phase-behavior

1.Surface relaxation with nano-pore confinement 2.Exponential (fluid) versus Gaussian (solid) decay 3.Deviations from theory at long correlation times (solid-like) 4.Internal gradients in the motional averaging regime 5.Hydrocarbon phase-behavior and storage in shale 6.Hydrocarbon transport (non-Darcy flow) in shale 7.Permeability transforms in shale 4/22/ Challenges to Investigate