2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale.

Slides:



Advertisements
Similar presentations
Electrical resistivity measurements and their uses in marine soils.
Advertisements

Lecture 20. Adsorption Phenomena
Flow Behavior of Gas-Condensate Wells - the impact of composition
Analytical Solutions for a Composite, Cylindrical Reservoir with a Power-Law Permeability Distribution in the Inner Cylinder Ryan Sawyer Broussard Department.
Conductivity Testing of Unsaturated Soils A Presentation to the Case Western Reserve University May 6, 2004 By Andrew G. Heydinger Department of Civil.
Stochastic Modeling of Multiphase Transport in Subsurface Porous Media: Motivation and Some Formulations Thomas F. Russell National Science Foundation,
Jan – Dec, 2006 University of Alaska – Fairbanks Pacific Northwest National Laboratory British Petroleum Exploration Alaska Injection of CO 2 for Recovery.
A modified Lagrangian-volumes method to simulate nonlinearly and kinetically adsorbing solute transport in heterogeneous media J.-R. de Dreuzy, Ph. Davy,
Goal 1: Design a flash drum
Dual Mesh Method in Upscaling Pascal Audigane and Martin Blunt Imperial College London SPE Reservoir Simulation Symposium, Houston, 3-5 February 2003.
Introduction to Petroleum Production Engineering
PETE 310 Lectures # 32 to 34 Cubic Equations of State …Last Lectures.
Ground-Water Flow and Solute Transport for the PHAST Simulator Ken Kipp and David Parkhurst.
Petroleum & Natural Gas Eng. Dept.
Numerical Porous Media KAUST SRI Center Modeling and simulation of multiscale problems N Ahmed, VM Calo, Y Efendiev, H Fayed, O Iliev, Z.Lakdawala, K.Leonard,
CIPC Application of X-Ray CT for Investigation of CO 2 and WAG Injection in Fractured Reservoirs D. Chakravarthy, V. Muralidharan, E. Putra and.
Interfacial transport So far, we have considered size and motion of particles In above, did not consider formation of particles or transport of matter.
Imbibition Assisted Recovery
Analysis of Production Data
OIL RECOVERY MECHANISMS AND THE MATERIAL BALANCE EQUATION
Mathematics of non-Darcy CO 2 injection into saline aquifers Ana Mijic Imperial College London Department of Civil and Environmental Engineering PMPM Research.
Unconventional Petrophysical Analysis in Unconventional Reservoirs
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 Effective Permeability and Relative Permeability
OVERVIEW OF PETROLEUM ENGINEERING.
On the Modelling of Subsurface Multiphase Flow using TransAT 24 March, 2015 ASCOMP
Geologic Analysis of Naturally Fractured Reservoirs 2nd Edition, R. A
Modeling and Measuring Water Saturation in Tight Gas Reservoirs Marcelo A Crotti Inlab S.A. INTERNATIONAL SEMINAR ON TIGHT GAS SANDS August 14th – 15th,
Principal Investigators: Ding Zhu and A. D. Hill
Optimizing In Fill Well Drilling - Wamsutter Field
Schlumberger Public Scope and Application of Pressure Transient Tests in CBM and Shale Gas reservoirs Baijayanta Ghosh Reservoir Domain Champion Testing.
Lecture 2 Single Phase Flow Concepts
OIL RECOVERY MECHANISMS AND THE MATERIAL BALANCE EQUATION
International Shale Development Optimization
Advance Chemical Engineering Thermodynamics
Reserve Evaluation for Enhance Oil Recovery Purposes Using Dynamic Reserve Evaluation Model Woodside Research Facility GPO Box U 1987 Perth West Australia.
Modelling Unconventional Wells with Resolve and Reveal Juan Biörklund (Gauloise Energía) and Georg Ziegler (Wintershall Holding)
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.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, LBNL Target Simulation Roman Samulyak, in collaboration with.
PETE 310 Lecture # 5 Phase Behavior – Pure Substances.
Upscaling of two-phase flow processes in CO 2 geological storage Orlando Silva (1), Insa Neuweiler 2), Marco Dentz (3,4), Jesús Carrera (3,4) and Maarten.
Liquids from Shale Geo “Slam” Carrie Welker Dec 13, 2011.
An Easy Method of Determining Hydraulic Conductivity of Soils using Pore Pressure Response of Piezocone Penetration Test Chung R Song, Ph.D., University.
Salt precipitation in porous media and multi-valued solutions G. G. Tsypkin Institute for Problems in Mechanics RAS, Moscow, Russia Petroleum engineering.
Integration of Production Analysis and Rate-Time Analysis via Parametric Correlations — Montney Shale Case Histories Yohanes ASKABE Department of Petroleum.
Rock & Fluid Properties
Soil Water Processes:Chapter 3 Learn how soil properties influence runoff, infiltration and plant growth. Learn how soil properties influence runoff, infiltration.
Uncertainty in AVO: How can we measure it? Dan Hampson, Brian Russell
FLOW THROUGH GRANULAR BEDS AND PACKED COLUMN
Pressure – Volume – Temperature Relationship of Pure Fluids.
CE 3354 Engineering Hydrology Lecture 21: Groundwater Hydrology Concepts – Part 1 1.
Role of Theory Model and understand catalytic processes at the electronic/atomistic level. This involves proposing atomic structures, suggesting reaction.
MULTI-COMPONENT FUEL VAPORIZATION IN A SIMULATED AIRCRAFT FUEL TANK C. E. Polymeropoulos Department of Mechanical and Aerospace Engineering, Rutgers University.
Research Institute of Petroleum Industry
27 May, 2011 — College Station, TX Study of Nonideal and Secondary Fractures O.M. Olorode Slide — 1/18 A Numerical Study of Nonideal and Secondary Fractures.
Diffusivity Equations for Flow in Porous Media PETE 613 (2005A) Slide — 1 T.A. Blasingame, Texas A&M U. Department of Petroleum Engineering Texas A&M University.
Yohanes ASKABE Department of Petroleum Engineering Texas A&M University College Station, TX (USA) Slide — 1/80 Rate-Decline.
Production Analysis of Eagle Ford Shale Gas Wells using Time-Rate Relations Avery DAVIS Department of Petroleum Engineering Texas A&M University College.
제목 : 미국 Sandia National Laboratory, Geomechanics Department 및 연구 동향 소개 연사 : Dr. Moo Lee Sandia National Laboratory 제목 : Shale Poromechanics, Hydraulic.
SPE What Factors Control Shale Gas Production Decline Trend: A Comprehensive Analysis and Investigation HanYi Wang, The University of Texas at Austin.
Brooks-Corey MICP Model Parameters Determination
Hasan Nourdeen Martin Blunt 10 Jan 2017
SPE DISTINGUISHED LECTURER SERIES
Unconventional Reservoirs
Gas Properties & PVT Tests
Impact of Flowing Formation Water on Residual CO2 Saturations
Introduction to Effective Permeability and Relative Permeability
Lattice Boltzmann Simulation of Water Transport in Gas Diffusion Layers of PEMFCs with Different Inlet Conditions Seung Hun Lee1, Jin Hyun Nam2,*, Hyung.
Gas Condensate Blockage
Gas Condensate Blockage
Presentation transcript:

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Vincent DOÇZY and Hyun YOON Petroleum Engineering — Texas A&M University College Station, TX (USA) — Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs Orientation Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Orientation: The Current Situation ● Known Issues: ■ Production of low-viscosity liquids (including condensates) from tight reservoirs (such as shales) is severely restricted. ■ Less than 5% recovery common(why, how can we improve?) ● The Problem: Wide Range of Strategies ■ Physical Displacement(...is it possible/is it economic?) ■ Viscosity Reduction(... popular concept, but limited?) ■ Production Optimization(... most potential, most complicated) ● Confounding Factors: ■ Top-Down (based on production)(... limits experimentation) ■ Possible Theoretical Model Flaws (... what are we describing?) ■ Evaluation Relies on Innovation(… rather that Inspiring it)

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Bazan L., Lattibeaudiere M. et al Hydraulic Fracture Design and Well Production Results in the Eagle Ford Shale: One Operator's Perspective. American Unconventional Resources Conference, 5 -7 June 2012, Pittsburgh, Pennsylvania SPE Work Flow: Development an Optimized Strategy Key Factors: ● Continuous improvement of completion and stimulation design. ● Optimization of critical factors related to the stimulated region. ● Reservoir/fluid properties paired with stimulation parameters (in simulation model). ● Must be able to quantify situation before the optimization. Optimization: ● Integration is the key. ● Data-driven. ● Discrete modeling for point of interest. Example data/technology integration workflow (After Bazan 2012)

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA Vincent DOÇZY and Hyun YOON Petroleum Engineering — Texas A&M University College Station, TX (USA) — Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs Mechanistic Evaluation: Overview

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Mechanistic Evaluation: Common Properties Properties Common to Shales: ● Ultra-low permeability. ● High organic content ( wt%). ● High viscosity liquids reduce mobility. ● Adsorption driven process(s). Jarvie, D. M. et al Unconventional shale-gas systems: The Mississippian Barnett Shale of north- central Texas as one model for thermogenic shale- gas assessment. AAPG Bulletin, V. 91, No. 4 (April), P Fig. 1—Histogram and Fingerprint of Barnett Shale (After Jarvie2007). Fig. 2—Hydrocarbon generation potential versus organic content (After Jarvie2007).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Mechanistic Evaluation: Porosity Focus on Porosity: ● Multiphase fluids produce reduced porosity. ● Desorption can increase relative value. ● Overall dynamic property. Robertson, E. P. and Christiansen, R.L A Permeability Model for Coal and Other Fractured, Sorptive-Elastic Media. SPE Eastern Regional Meeting, October Canton, Ohio, USA. SPE Key Factors: ● Reservoir Compaction. ● Rate of diffusion. ● Sorption of Gas. ● Particle radius. Fig. 1—Sensitivity of the model to changes in porosity (After Robertson 2006). Fig. 2—Effect of tight matrix porosity on mean field approximation of free gas concentration and its derivative (After Fathi 2009).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Mechanistic Evaluation: Adsorption Adsorption: ● Reversible process ● Controls overall liquid mobility ● Strongly influenced by diffusion flow regime Fathi, E. and Akkutlu, I.Y Matrix Heterogeneity Effects on Gas Transport and Adsorption in coalbed and Shale Gas Reservoirs. Transp Porous Med, (80): SPE PA. Key Factors: ● Fluid/Matrix composition ● Adsorption/Desorption kinetics ● Diffusive transport Fig. 1—Macro-kinetic/transport effects on ultimate recovery (After Fathi 2009). Fig. 2—Schematic of desorption area expansion (After Bingxiang et al 2013).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Slide — 8/ xxx Aguilar, A. and McCain, W. D An Efficient Tuning Strategy to Calibrate Cubic EOS For Compositional Simulation. SPE Annual Technical Conference and Exhibition, 29 September-2 October 2002, San Antonio, Texas SPE Mechanistic Evaluation: Phase Behavior Phase Behavior: Past Issues ● Volatile oils and gas condensates cannot be properly described by classical material balance. ● Cubic equations of state produce questionable results for volatile oils and gas condensates. Key Factors: ● Reliable, repeatable, simulation driven. ● Phase behavior description from discovery-level data. Fig. 1— Plot of calculated critical properties C 7+ (After Aguilar 2002)). Fig. 2— Two-phase compressibility factor (After Aguilar 2002).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Pore Proximity Effects: ● Phase behavior ● Gas condensate adsorption ● Inter-phase interaction Devegowda, D. and Sapmanee K. et al Phase Behavior of Gas Condensates in Shales Due to Pore Proximity Effects. SPE Annual Technical Conference and Exhibition, October 2012, San Antonio, Texas SPE Mechanistic Evaluation: Phase Behavior Past Issues: ● Conventional simulation tools and models ignore (often severe) inter-phase interactions. ● No known approaches available to implement this effect. ● Could this effect lead to enhanced production (i.e., reduction of condensate blocking or drop around the well)? Key Factors: ● Nano-science: effects of confinement on critical pressure and critical temperature. ● New effective phase diagram needed. ● Definitely implies enhanced adsorption effect. Fig. 1— Gas viscosity of heavy gas-condensate mixture using modified Pederson correlation at Tr = 400 ⁰ F (After Devegowda 2012).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Capillary Pressure: ● Capillary pressure effect used to integrate permeability model with phase behavior. ● Used modified Brooks and Corey model. ● Modeled as curvature change. Nojabaei B. and Johns R.T Effect of Capillary Pressure on Fluid Density and Phase Behavior in Tight Rocks and Shales. SPE Annual Technical Conference and Exhibition, October 2012, San Antonio, Texas SPE Mechanistic Evaluation: Capillary Pressure Effects Past Issues: ● Capillary pressure not considered significant factor (equilibrium calculations). Key Factors: ● Influences phase behavior, saturation, and Langmuir volumetric strain constant. ● Bubblepoint pressure lowered due to increased interfacial tension. ● Related to high flowing bottomhole pressures. Fig. 1— Phase diagrams of various mixtures of C 1 –C 6 (After Nojabaei 2012).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Vincent DOÇZY and Hyun YOON Petroleum Engineering — Texas A&M University College Station, TX (USA) — Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs Work In Progress Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Work in progress: Theoretical Model: Mass Balance Statistical Rate Theory: ● Raoult's law-level mass transport description ● Allows arbitrary level of precision ● Removes the necessity for fitting parameters. Kapoor, A. and Elliott, J Statistical Rate Theory Insight into Evaporation and Condensation in Multicomponent Systems. J. Phys. Chem B, (114): Past Issues: ● Transport across the interface determined by empirically derived mass transfer coefficients. ● Multicomponent evaporation/ condensation processes unmanageable. Key Factors: ● Descriptions of flow mechanisms. ● More effective phase diagram. Fig. 1— Effects of competitive evaporation due to initial concentration (1 = water, 2 = ethanol) (After Kapoor 2010).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Background: The Eagle Ford shale play has had significant growth since 2009, with strong well performance especially in the condensate window. Fan L., Martin R. et al An integrated Approach for Understanding Oil and Gas Reserves Potential in Eagle Ford Shale Formation. Canadian Unconventional Resources Conference, November 2011, Calgary, Alberta, Canada SPE Work in progress: Case Study — The Eagle Ford Key Factors: ● Uniqueness due to in-situ reservoir fluids ranging from black oil to dry gas. ● The liquid-rich areas requiring higher fracture conductivity as a result of multiphase flow and higher viscosity fluids. ● Can we infer critical factors for liquid production? ● What are the pertinent parameters for liquid flow rate enhancement? Fig. 1—The Average oil production bubble map (larger bubbles indicate higher rates) (After Fan 2011).

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Vincent DOÇZY and Hyun YOON Petroleum Engineering — Texas A&M University College Station, TX (USA) — Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs Summary Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Summary: ● Conventional Reservoir Models ■ Based on large/ coarse scale considerations. ■ Flow mechanisms adapted from analogs. ■ Calculations limited by computational power. ● Mechanistic Reservoir Evaluation ■ Diagnostic understanding of fluid/matrix behavior. ■ Application of fine-scale descriptive equations (flow/PVT/etc.) ■ Simulation used to assist decisions rather than descriptions. ● Future work: ■ Proper foundation will facilitate applicable results. ■ Limitations to data extrapolation still as of yet unclear. ■ Clear trends may prove elusive due to "noise reduction" considerations. This needs help, I don't know what it means…

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Vincent DOÇZY and Hyun YOON Petroleum Engineering — Texas A&M University College Station, TX (USA) — Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs End of Presentation Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA Student Biographies: — Vincent DOÇZY — Hyun YOON

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Brief Biography: Doçzy ● Role: — Crisman Graduate Assistant Research (GAR), Texas A&M U. — B.S. Physics (w/ Chemistry/Math) Indiana University — M.S Candidate Texas A&M U. (PETE) — Sergeant U.S. Marine Corps ● Recognition: — Member Physics honor society ∑π∑ (2012) — SMART Grant Research Fellow (2011) — Governor Frank O'Bannon Scholar (2009) — MFRI Grant Recipient (2012) ● Current Research Activities: (?) — Nano-Scale Flow Phenomena — Reservoir Engineering of Near-Critical, "Liquids-Rich" Shale Systems — Evaluation of for Shale/Liquids-Rich Systems — Numerical Modeling of Ultra-Low Permeability Reservoir Systems

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Brief Biography: Yoon ● Role: — Crisman Graduate Assistant Research (GAR), Texas A&M U. — Ph.D. Student, TAMU — M.S. Energy System Eng., Seoul National University — B.S. Civil, Urban, Geosystem Eng., SNU — B.S. Business Administration (Dual Degree), SNU ● Research & Work Experience : — Reservoir Characterization Study of Oil Sand (2011) — Inflow Performance Analysis of Subsea Reservoir (2011) — Development of Modeling Technology for CTD Operation (2010) — Fixed Income Sales & Trading Associate, Samsung Securities — Sergeant, Korean Augmentation to the U.S. Army ● Current Research Activities: — Liquids-Rich Unconventional Reservoir Engineering — Multiphase Flow Modeling near Stimulated Reservoir Volume — Reservoir Simulation for Liquids-Rich Shale Reservoirs

2013 Crisman Institute Meetings | 01 May 2013 Texas A&M | College Station, TX, United States Evaluation of EOR of Low-Viscosity Liquids from Tight/Shale Reservoirs V.M. Doçzy and H. Yoon | Texas A&M University Vincent DOÇZY and Hyun YOON Petroleum Engineering — Texas A&M University College Station, TX (USA) — Evaluation of Strategies for Enhancing Production of Low-Viscosity Liquids from Tight/Shale Reservoirs End of Presentation Presentation for Crisman Institute Meetings 01 May 2013 — College Station, TX, USA