Preparing Oil & Gas PVT Data. Reservoir Simulation
|
|
|
- Cathleen Walker
- 5 years ago
- Views:
Transcription
1 A-to-Z of Preparing Oil & Gas PVT Data for Reservoir Simulation Curtis H. Whitson NTNU / PERA
2 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
3 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
4 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
5 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
6 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
7 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
8 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
9 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
10 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
11 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
12 Tasks Collecting samples. Which PVT lab tests to use. Designing special PVT studies. Quality controlling PVT data. Heptanes-plus data and characterization. Initial EOS model. Tuning an EOS model. Viscosities. Fluid initialization. Minimizing number of EOS components. Black-oil PVT tables.
13 Collecting Samples Why? 1. PVT data to develop a model.
14 Collecting Samples Why? 1. PVT data to develop a model. 2. Compositions for fluid initialization.
15 Collecting Samples Why? 1. PVT data to develop a model. 2. Compositions for fluid initialization. 3. Crude assays for process design.
16 Collecting Samples Oils How? Bottomhole samples. Surface separator samples. MDT / RCI Gas Condensates Surface separator samples. MDT / RCI
17 Collecting Samples Oils How? Bottomhole samples. Surface separator samples. MDT / RCI Gas Condensates Surface separator samples. MDT / RCI Saturated Gas / Oil Systems Gas-cone an oil producer perfect!. ECM (equilibrium contact mixing)
18 Open-hole Samplers MDT / RCI Potential Problems Oil-based muds. Oils -- OK for composition. Gas condensates OK for composition. Surface cooling before removal. Bubblepoint suppression.
19 MDT Sampling with MPSR bottles PERA To pump and formation To pump and formation Fire-open valve operated to fill To pump and formation Fire-open valve open Fire-close valve closed Fire-open valve Fire-close valve Fire-close valve operated post filling Dead volume (<10cc) now gas filled and the gas will be lost Dead volume (<10cc) initially water filled Manual close valve Dead volume (<10cc) now oil filled Manual close valve Manual close valve now operated to extract MPSR from MDT tool MPSR Piston 450cc MPSR bottle MPSR 450cc of single phase oil at res temp and pressure Water from dead volume MPSR 450cc of 2 phase hydrocarbon at surface temp and some pressure Water from dead volume Prior to Sampling Post Sampling but downhole Piston Post Sampling Now at surface Piston
20 Which PVT Lab Tests to Use What are you simulating? Depletion. Water injection. Condensate blockage. Gas injection. Miscible. Immiscible.
21 Designing Special PVT Studies Condensate Blockage. Condensate viscosities. Miscible Gas Injection. Through-critical swelling test. V ro, compositions and K-values! Immiscible Gas Injection. Vaporization tests.
22 Quality Controlling PVT Data Compositions!!! Recombination. Extended GC. Mass-to-mole conversion. C 7+ properties. Molecular weight and specific gravity. Use trend plots. P s vs wt-% methane and/or C 7+.
23 J-476XDST4BHS PERA 100 Reported (GC) Expontential Model Molar Composition, mol-% Molecular Weight
24 J-482BHS Molar Composition, mol-% Reported (GC) Expontential Model Expon. (Reported (GC)) Reported GC extended distribution appears to be in serious error, being much too "light" with apparent M7+ = 130 DON'T USE GC DISTRIBUTION!!! Molecular Weight
25 C 7+ Data and Characterization Correlate MW and SG of C 7+. Define trends & identify outliers. Use TBP Data. Gamma distribution model fit. SCN MW-SG relationship. Downstream Assay data always available. Extended GC Data. Gamma distribution model fit. Ignore heaviest amount and MW.
26 Soreide Fc Correlation Specific Gravity Bottomhole Samples Separator Samples Best-Fit Fc=0.287 Fc=.28 Fc=.27 Becoming More Paraffinic Due to Wax Accumulation in Samp les??? Molecular Weight
27 C7+ Properties (Watson Correlation) 930 C7+ Density, kg/m Decreasing Aromaticity: Asphaltene Loss? 850 Reported / Determined Kw=11.2 Kw=11.5 Kw= C7+ Molecular Weight
28 Assay Data TBP Distillation (Well 15-2-RD-2X) Specific Gravity Discontinuity? Maybe associated with change in distillation pressure Molecular Weight Riazi Correlation Soreide (after fit Riazi)
29 Initial EOS Model Default Parameters don t mess with em. C 6- properties M, T c, p c, ω. C 6- properties volume shift s(=c/b). Non-HC / HC BIPs k ij. C7+ Characterization. Minimum 3 fractions (not C 7, C 8, C 9+!). Methane-C 7+ BIPs. SG-TB-MW relationship; T c, p c, ω(t b ). Volume shift treatment s(γ). Always keep fraction SGs fit by EOS.
30 Tuning an EOS Model Densities Don t Need Regressing! What s Left to Fit? Nothing but K-values... but how??? Check Consistency! Monotonic K-values of hydrocarbons. Three-phase existence (from EOS model). Serious problem for EOS models!
31 Viscosities LBC (Lorenz-Bray-Clark / Jossi-Thodos) Need accurate densities. Modify C 7+ V c values. Make sure fraction viscosities are monotonic. LBC polynomial coefficients. BE CAREFUL! Pedersen. Better predictions than LBC. Regression -?
32 Fluid Initialization Plot C 6+ versus Depth. Initial Oil in Place plot. Use error bars. Depth and composition. Uncertainty Analysis. Use isothermal gradient model. Defines maximum compositional variation. Use constant composition. Defines minimum compositional variation.
33 Reference Depth GOC Depth, ft SSL Field-Data Based Initialization Isothermal Model IOIP / HCPV, (Sm 3 / m 3 )
34 Reference Depth GOC Depth, ft SSL Field-Data Based Initialization Isothermal Model C7+ Mole Percent
35 3800 True Vertical Depth, mss Well B Well A DST 2 Well A DST 1 Well D Well E Well C C 7+ Mole Percent
36 3800 True Vertical Depth, mss Well B Well A DST 2 Well A DST 1 Well D Well E Well C C 7+ Mole Percent
37 3800 True Vertical Depth, mss Well B Well A DST 2 Well A DST 1 Well D Well E Well C C 7+ Mole Percent
38 Fluid Initialization Black-Oil vs Compositional. Use consistent EOS model. Use consistent surface process. Use solution GOR (R s and R v ) for black-oil model. Based on EOS model initialization.
39 Minimizing Number of EOS Components Basis of Comparison. Detailed & Tuned EOS model. Stepwise lumping procedure. Check entire relevant p-compositioni space. Depletion data. Gas injection data. Miscibility data. Delumping? Detailed & Tuned EOS model.
40 Black-Oil PVT Tables Select Depletion Test. Define Surface Separation. Consistency. Negative compressibilities. Saturated gas / oil systems. Compositional grading. Extrapolation. Undersaturated GOC (ECL100). Gas injection.
41 Black-Oil PVT Tables Delumping to Compositional Streams?
42 Split Factor BOz Conversion q g q o S ij z 1 z 2... z S i i1 = 2 j= 1 S (1+ rsc = k ij q j q 1 = q g q 2 = q o oo i i ( 1 r R ) k( 1 r R ) s og s ) y r s (C + R s s s ) x z n S i2 (C = k oo + R i i ( 1 r R ) k( 1 r R ) s s s ) x R s (1+ r s s C s og ) y
43 North Sea Full-Field Black-oil to Compositional conversion 2 Platforms / 2 Processes. ~ 50 wells. ~ 1000 well-grid connections. Gas injection. 2 Black-oil PVT regions. Huge (GB) summary files. > 100,000 stream conversions.
44 North Sea Full-Field Model E100-BO E300-EOS FFM B Platform A Process A ~ 30 Wells Platform B Process B ~ 15 Wells Gas Injection A Different Surface Processes (BO PVT) in Regions A & B
45 Objective Run black-oil full-field reservoir model. Convert surface rates to compositional streams. Connection level conversions. Summarize results. By well, platform, field. Annually, quarterly, cummulatives etc.
46 2.6E+06 Full-Field Rate Forecast (Following history match from 1987) E Gas Rate, Sm3/Day 2.2E E E E+06 e100-bo Gas Rate e100-bo Oil Rate Oil Rate, Sm3/Day 1.4E E+06 Changing Group Gas Rate due to reduced contribution from neighbouring fields Time, Year
47 30000 Full-Field Molar Rate Predictions (E100 - BOz conversion) C3C4 & C6+ Molar Rate, kmol/d C6+ C1 C3C4 C3C4 C6+ C1 C1 C6+ C3C C1 Molar rate, kmol/d Time, Year
48 30000 C6+ Full-Field Molar Rate Predictions (E300-BOZ/PSM vs E300 models) Validation of Conversion Accuracy C C3C4 & C6+ Molar Rate, kmol/d C1 C3C4 ECL300: Z ECL300: BO to Z C6+ C3C C1 Molar Rate, kmol/d Time, Year 0
EOS Higher Oil School 2017/5/26
EOS lecture @Baku Higher Oil School 2017/5/26 Introduction What is EOS? Equation of State Also known as Cubic EOS because of equation of 3 rd degree Instrumental to calculate PVT Relationship between Pressure,
PVT Course for Oil and Gas Professionals
PVT Course for Oil and Gas Professionals The Instructor Overview Avada Oil and Gas is commitment to raising the bar for postgraduate learning. A student receiving a certificate of completion from us, has
GENERALIZED PSEUDOPRESSURE WELL TREATMENT
GENERALIZED PSEUDOPRESSURE WELL TREATMENT IN RESERVOIR SIMULATION Curtis H. Whitson a,b Øivind Fevang b a Norwegian University of Science and Technology (NTNU) b PERA a/s ABSTRACT This paper presents a
P1: IML/FFX P2: IML/FFX QC: IML/FFX T1: IML AT029-FM AT029-Manual AT029-Manual-v8.cls December 11, :59. Contents
Contents Foreword Preface xvii xix Chapter 1 Introduction 1 Nomenclature 1 1.1 Nature of Petroleum Fluids 1 1.1.1 Hydrocarbons 3 1.1.2 Reservoir Fluids and Crude Oil 5 1.1.3 Petroleum Fractions and Products
PETE 310 Lectures # 36 to 37
PETE 310 Lectures # 36 to 37 Cubic Equations of State Last Lectures Instructional Objectives Know the data needed in the EOS to evaluate fluid properties Know how to use the EOS for single and for multicomponent
Investigation of Compositional Grading in Petroleum Reservoirs
Investigation of Compositional Grading in Petroleum Reservoirs Zhangxing Chen University of Calgary Outline Importance of the Research Factors Leading to Compositional Variations Compositional Grading
SPE A Pseudo-Black-Oil Method for Simulating Gas Condensate Reservoirs S.-W. Wang, SPE, and I. Harmawan, SPE, Unocal Indonesia Co.
SPE 92828 A Pseudo-Black-Oil Method for Simulating Gas Condensate Reservoirs S.-W. Wang, SPE, and I. Harmawan, SPE, Unocal Indonesia Co. Copyright 2005, Society of Petroleum Engineers Inc. This paper was
The SPE Foundation through member donations and a contribution from Offshore Europe
Primary funding is provided by The SPE Foundation through member donations and a contribution from Offshore Europe The Society is grateful to those companies that allow their professionals to serve as
PVTi and ECLIPSE 300. An Introduction to PVT analysis and compositional simulation. Abingdon Technology Center Training
PVTi and ECLIPSE 300 An Introduction to PVT analysis and compositional simulation Abingdon Technology Center Training Copyright Notice Disclaimer 2005 Schlumberger. All rights reserved. No part of this
12. Petroleum Calculations
12. Petroleum Calculations Overview Calculations with the OLI Software can be used to characterize crude oils. Here is a quote from the OLI Tricks of the Trade manual (AQSim) Crude oils are complex groups
Real Time Integration of Reservoir Modeling and Formation Testing. Adriaan Gisolf Reservoir Domain Champion, Norway
Real Time Integration of Reservoir Modeling and Formation Testing Adriaan Gisolf Reservoir Domain Champion, Norway utline: New Understanding of Reservoirs DFA what is it. DFA & Compositional Variations
PETROLEUM ENGINEERING 310 FIRST EXAM. September 19, 2001
PETROLEUM ENGINEERING 31 FIRST EXAM September 19, 1 Do all your work on the test paper and the space provided for the answer, do no write on the back. Grading will be based on approach and answers. Remember
Reservoir Eng FOB :18 Page i Second Edition
Second Edition C H A P T E R 1 FUNDAMENTALS OF RESERVOIR FLUID BEHAVIOR Naturally occurring hydrocarbon systems found in petroleum reservoirs are mixtures of organic compounds which exhibit multiphase
The SPE Foundation through member donations and a contribution from Offshore Europe
Primary funding is provided by The SPE Foundation through member donations and a contribution from Offshore Europe The Society is grateful to those companies that allow their professionals to serve as
!"#$ Reservoir Fluid Properties. State of the Art and Outlook for Future Development. Dr. Muhammad Al-Marhoun
Society of Petroleum Engineers SPE 2001 2002 Distinguished Lecturer Program 4 July 2002 Reservoir Fluid Properties State of the Art and Outlook for Future Development Dr. Muhammad Al-Marhoun King Fahd
Yutaek Seo. Subsea Engineering
Yutaek Seo Subsea Engineering Fluid characterization Fluid characterization Bottom hole sampling DST Separator analysis Constituents of reservoir fluids Defined components TBP fractions TBP residue Defined
Inside VMG -June 2013 [News - Articles - Courses - Webinars] - Virtual Materials Group, Inc.
![Inside VMG -June 2013 [News - Articles - Courses - Webinars] - Virtual Materials Group, Inc.](/thumbs/79/78943470.jpg "Inside VMG -June 2013 [News - Articles - Courses - Webinars] - Virtual Materials Group, Inc.")
Monday, June 17, 2013 VMGSim Courses Hands on Introduction to VMGSim August 28, 2013 and November 20, 2013. Calgary, AB, Canada This one-day course provides process engineers an introduction to VMGSim
A generalized set of correlations for plus fraction characterization
370 Pet.Sci.(01)9:370-378 DOI 10.1007/s118-01-01-x A generalized set of correlations for plus fraction characterization JAMIALAHMADI Mohamad 1, ZANGENEH Hossein and HOSSEINI Seyed Sajad 1 Petroleum Engineering
Energy and Energy Balances
Energy and Energy Balances help us account for the total energy required for a process to run Minimizing wasted energy is crucial in Energy, like mass, is. This is the Components of Total Energy energy
Characterizing Pure and Undefined Petroleum Components
International Journal of Engineering & ehnology IJE-IJENS Vol:10 No:0 8 Charaterizing Pure and Undefined Petroleum Components Hassan S. Naji King Abdulaziz University, Jeddah, Saudi Arabia Website: http://hnaji.au.edu.sa
Characterization & properties estimation of crude oil and petroleum products
Chapter 4 Characterization & properties estimation of crude oil and petroleum products Introduction There is no analytical technique available to determine (either quantitatively or quantitatively) all
Predicting the Dead Oil Viscosity of Reservoir Fluids: a case study of the Niger Delta
Predicting the Dead Oil Viscosity of Reservoir Fluids: a case study of the Niger Delta Abstract Kamilu Folorunsho Oyedeko 1* and Ubong William Ulaeto 1 1.Chemical & Polymer Engineering, Lagos State University,
Examination paper for TPG4150 Reservoir Recovery Techniques
1 Department of Petroleum Engineering and Applied Geophysics Examination paper for TPG4150 Reservoir Recovery Techniques Academic contact during examination: Jon Kleppe Phone: 91897300/73594925 Examination
Prediction of Asphaltene Instability under Gas Injection with the PC-SAFT Equation of State
1230 Energy & Fuels 2005, 19, 1230-1234 Prediction of Asphaltene Instability under Gas Injection with the PC-SAFT Equation of State Doris L. Gonzalez, P. David Ting, George J. Hirasaki, and Walter G. Chapman*
"Energy Applications: Impact of Data and Models"
"Energy Applications: Impact of Data and Models" Energy Applications refers in this particular case to the wide application of equations of state upstream in the Production of Oil and Gas. The petroleum
Reservoir Management Background OOIP, OGIP Determination and Production Forecast Tool Kit Recovery Factor ( R.F.) Tool Kit
Reservoir Management Background 1. OOIP, OGIP Determination and Production Forecast Tool Kit A. Volumetrics Drainage radius assumption. B. Material Balance Inaccurate when recovery factor ( R.F.) < 5 to
Chapter 3 Pressure-Volume-Temperature for Oil
Chapter 3 Pressure-Volume-Temperature for Oil PVT analysis PVT relationship Gas Oil scf condition underground condition simple complex ( because of bubble point) 1 Three main oil PVT parameters The three
CALCULATION OF THE COMPRESSIBILITY FACTOR AND FUGACITY IN OIL-GAS SYSTEMS USING CUBIC EQUATIONS OF STATE
CALCULATION OF THE COMPRESSIBILITY FACTOR AND FUGACITY IN OIL-GAS SYSTEMS USING CUBIC EQUATIONS OF STATE V. P. de MATOS MARTINS 1, A. M. BARBOSA NETO 1, A. C. BANNWART 1 1 University of Campinas, Mechanical
Continuous Thermodynamics of Petroleum Fluids Fractions
Chemical Engineering and Processing Volume 40, Issue 5, Pages 431 435, 2001 DOI: 10.1016/S0255-2701(00)00140-9 Print ISSN: 02552701 G.Reza Vakili-Nezhaad a, Hamid Modarress b, G.Ali Mansoori c a Uniersity
An improved component retrieval method for cubic equations of state with non-zero binary interaction coefficients for natural oil and gas
J Petrol Explor Prod Technol (26) 6:243 25 DOI.7/s322-5-8-y ORIGINAL PAPER - PRODUCTION ENGINEERING An improved component retrieval method for cubic equations of state with non-zero binary interaction
Phase behavior prediction of petroleum fluids with minimum characterization data
Journal of Petroleum Science and Engineering Volume 22, Issue 1-3, Pages 67-93, 1999 Abstract Phase behavior prediction of petroleum fluids with minimum characterization data Hussain Manafi a, G.Ali Mansoori
ChemSep Tutorial: Distillation with Hypothetical Components
ChemSep Tutorial: Distillation with Hypothetical Components Harry Kooijman and Ross Taylor Here we use ChemSep to solve a complex multicomponent distillation problem presented in a paper entitled Multistage
Feasibility of Using Periodic Manual Sampling to Achieve Auto Sampling Intentions in Gas Export Measurement System
Feasibility of Using Periodic Manual Sampling to Achieve Auto Sampling Intentions in Gas Export Measurement System By Anwar Sutan Anwar.Sutan@i-vigilant.com Background Flow proportional sample has not
EXAM # 1 CIRCLE YOUR LECTURE BELOW: 8:30 am 11:30 am 2:30 pm Prof. Memon Prof. Naik Prof. Lucht INSTRUCTIONS
Last Name First Name CIRCLE YOUR LECTURE BELOW: 8: am : am : pm Prof. Memon Prof. Naik Prof. Lucht EXAM # INSTRUCTIONS. This is a closed book examination. An equation sheet and all needed property tables
TOPIC: Conceptual Flowsheet for Production of Benzene from Toluene. Proposed Solution:
Norwegian University of Science and Technology Course: Energy and Process Department of Energy and Process Engineering No.: TEP 4230 Trondheim, 17.09.04, T. Gundersen Part: Production Systems Task: 5 Year:
Gas Processing Journal
Gas Processing Journal Vol. 2 No. 1, January 2014 http://uijs.ui.ac.ir/gpj A Unified Approach for Quality Control of Drilled Stem Test (DST) and PVT Data Sh. Osfouri 1*, R. Azin 2, M. Kiani Zakheradi 3
Study of adsorption and desorption of asphaltene sediments inhibitor in the bottomhole formation zone
Study of adsorption and desorption of asphaltene sediments inhibitor in the bottomhole formation zone G. Korobov Assistant Professor, Department of Development and Operation of Oil and Gas Fields, Saint-Petersburg
PREDICTION OF SATURATED LIQUID VOLUMES FROM A MODIFIED VAN DER WAALS EQUATION. By Charles R. Koppany
PREDICTION OF SATURATED LIQUID VOLUMES FROM A MODIFIED VAN DER WAALS EQUATION Part 1 By Charles R. Koppany Introduction Over the past 40 years or so, closed cubic (in volume) equations of state have been
Oil and Gas Well Performance
Oil and Gas Well Performance Presented By: Jebraeel Gholinezhad Agenda 1. Introduction 2. Fandamentals 3. Oil Well Performance 4. Gas Well Performance 5. Tubing Flow Performance 6. Artificial Lift Systems
Modeling of Asphaltene Precipitation from Crude Oil with the Cubic Plus Association Equation of State
Downloaded from orbit.dtu.dk on: Apr 02, 2019 Modeling of Asphaltene Precipitation from Crude Oil with the Cubic Plus Association Equation of State Arya, Alay; Liang, Xiaodong; von Solms, Nicolas; Kontogeorgis,
PVTpetro: A COMPUTATIONAL TOOL FOR ISOTHERM TWO- PHASE PT-FLASH CALCULATION IN OIL-GAS SYSTEMS
PVTpetro: A COMPUTATIONAL TOOL FOR ISOTHERM TWO- PHASE PT-FLASH CALCULATION IN OIL-GAS SYSTEMS A. M. BARBOSA NETO 1, A. C. BANNWART 1 1 University of Campinas, Mechanical Engineering Faculty, Energy Department
Non-Newtonian fluids is the fluids in which shear stress is not directly proportional to deformation rate, such as toothpaste,
CHAPTER1: Basic Definitions, Zeroth, First, and Second Laws of Thermodynamics 1.1. Definitions What does thermodynamic mean? It is a Greeks word which means a motion of the heat. Water is a liquid substance
THE BEST EQUATION OF STATE AND CORRELATION DENSITY AND VISCOSITY
Page 1 of 17 PROPOSED FOR PREDICTION OF IRANIAN CRUDE OIL DENSITY AND VISCOSITY INTRODUCTION Density and viscosity are two important physical properties which are highly used in chemical engineering calculations.
Thermodynamics of Fluid Phase Equilibria Dr. Jayant K. Singh Department of Chemical Engineering Indian Institute of Technology, Kanpur
Thermodynamics of Fluid Phase Equilibria Dr. Jayant K. Singh Department of Chemical Engineering Indian Institute of Technology, Kanpur Lecture - 01 Review of basic concepts of thermodynamics Welcome to
15. Studio ScaleChem Getting Started
15. Studio ScaleChem Getting Started Terminology Analysis Brines Gases Oils Reconciliation Before we can discuss how to use Studio ScaleChem we must first discuss some terms. This will help us define some
UNIVERSITY OF CALGARY. Extended Distillation and Property Correlations for Heavy Oil. Maria Catalina Sanchez Lemus A THESIS
UNIVERSITY OF CALGARY Extended Distillation and Property Correlations for Heavy Oil by Maria Catalina Sanchez Lemus A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS
BUTANE CONDENSATION IN KEROGEN PORES AND IN SMECTITE CLAY: NMR RELAXATION AND COMPARISON IN LAB STUDY
SCA212-46 1/6 BUTANE CONDENSATION IN KEROGEN PORES AND IN SMECTITE CLAY: NMR RELAXATION AND COMPARISON IN LAB STUDY Jilin Zhang, Jin-Hong Chen, Guodong Jin, Terrence Quinn and Elton Frost Baker Hughes
Quality controlled oil reservoirs PVT data
Technical University of Crete School of Mineral Resources Engineering Postgraduate program in Petroleum Engineering Quality controlled oil reservoirs PVT data Master thesis by Theodosia Fiotodimitraki
Examination paper for TPG4150 Reservoir Recovery Techniques
1 Department of Petroleum Engineering and Applied Geophysics Examination paper for TPG4150 Reservoir Recovery Techniques Academic contact during examination: Jon Kleppe Phone: 91897300/73594925 Examination
The role of capillary pressure curves in reservoir simulation studies.
The role of capillary pressure curves in reservoir simulation studies. M. salarieh, A. Doroudi, G.A. Sobhi and G.R. Bashiri Research Inistitute of petroleum Industry. Key words: Capillary pressure curve,
Reservoir Modeling for Wabamun Area CO2 Sequestration Project (WASP) Davood Nowroozi
Reservoir Modeling for Wabamun Area CO2 Sequestration Project (WASP) Davood Nowroozi Don Lawton 1 Effect of production/injection on Geophysical parameters Production or injection makes change in fluid
Scale Flow Assurance Workflows in Multiphase Flow Simulation
Scale Flow Assurance Workflows in Multiphase Flow Simulation Mack Shippen - Schlumberger PIPESIM Product Champion OLI Simulation Conference November 17, 2010 Abstract Multiphase flow simulation is critical
Hydrocarbon Components and Physical Properties Core COPYRIGHT. Basic Terminology
3/7/2017 Learning Objectives Hydrocarbon Components and Physical Properties Core Basic Terminology By the end of this lesson, you you will will be be able able to: to: Describe the concept of atomic mass,
PETE 310. Lecture # 15 Properties of Black Oils Definitions (pages )
PETE 310 Lecture # 15 Properties of Black Oils Definitions (pages 224-240) PETROLEUM ENGINEERING 310 Please adhere strictly to the rules indicated in this test Disable your cell phone (no text messages
Enhanced Oil Recovery with CO2 Injection
Enhanced Oil Recovery with CO2 Injection Wei Yan and Erling H. Stenby Department of Chemical Engineering Technical University of Denmark Contents Overview Mechanism of miscibility Experimental study of
A.% by mass (like % composition)
Solutions; Colloids Key Words Solute Solvent Solubility effervescence Miscible saturated Supersaturated (metastable system)- a cooled solution contains more solute than it would at equilibrium, desolvation=
Evaluation of Petrophysical Properties of an Oil Field and their effects on production after gas injection
Evaluation of Petrophysical Properties of an Oil Field and their effects on production after gas injection Abdolla Esmaeili, National Iranian South Oil Company (NISOC), Iran E- mail: esmaily_ab@yahoo.com
Peng-Robinson Equation of State Predictions for Gas Condensate Before and After Lumping
Advances in Petroleum Exploration and Development Vol. 2, No. 2, 2011, pp. 41-46 DOI:10.3968/ j.aped.1925543820110202.105 ISSN 1925-542X[Print] ISSN 1925-5438[Online] www.cscanada.net www.cscanada.org
Systems Engineering Spring Group Project #1: Process Flowsheeting Calculations for Acetic Anhydride Plant. Date: 2/25/00 Due: 3/3/00
10.551 Systems Engineering Spring 2000 Group Project #1: Process Flowsheeting Calculations for Acetic Anhydride Plant Date: 2/25/00 Due: 3/3/00 c Paul I. Barton, 14th February 2000 At our Nowhere City
2014 Software Global Client Conference
John R. Cunningham NA Technical Support Oct. 2, 2014 Orlando Florida SS TSS-03 A Simulation Thermodynamics: Best Practices Part I: Assuring the optimal property packages for your simulation Instructor
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists 4,100 116,000 120M Open access books available International authors and editors Downloads Our
Bexp. The temperature validity range of this second equation is relatively small. () 8
Chapter 3 From Components to Models 121 Another classic formulation for the second virial coefficient is given by (Ambrose [44, 45]): C BT ( ) = A+ Bexp (3.35) T The temperature validity range of this
5/6/ :41 PM. Chapter 6. Using Entropy. Dr. Mohammad Abuhaiba, PE
Chapter 6 Using Entropy 1 2 Chapter Objective Means are introduced for analyzing systems from the 2 nd law perspective as they undergo processes that are not necessarily cycles. Objective: introduce entropy
The unfashionable tool
Material Balance Calculations The unfashionable tool 232, Avenue Napoléon Bonaparte P.O. BOX 213 92502 Rueil-Malmaison France Phone: +33 1 47 08 80 00 Fax: +33 1 47 08 41 85 www.beicip.com Victor Alcobia
Improved Dead Oil Viscosity Model
Improved Dead Oil Viscosity Model Ulaeto Ubong and Oyedeko K.F.K Department of Chemical & Polymer Engineering, Lagos State University Abstract This research work developed two new dead oil viscosity correlations:
Determining Liquid Capacity 4 th Annual Pipeline Knowledge Retention Chris Sonneborn November 7, 2013
Determining Liquid Capacity 4 th Annual Pipeline Knowledge Retention Chris Sonneborn November 7, 2013 Outline What is important? Liquid Properties Thermal Conditions Hydraulic Gradient Flow Regime in Liquids
12. Heat of melting and evaporation of water
VS 12. Heat of melting and evaporation of water 12.1 Introduction The change of the physical state of a substance in general requires the absorption or release of heat. In this case, one speaks of a first
Effect of fluid viscosity on asphaltene deposition rate during turbulent flow in oil wells
American Journal of Chemical Engineering Volume 1, No. 2, Pages 45-49, 2013 DOI: 10.11648/j.ajche.20130102.13 Effect of fluid viscosity on asphaltene deposition rate during turbulent flow in oil wells
ECE309 INTRODUCTION TO THERMODYNAMICS & HEAT TRANSFER. 13 June 2007
ECE309 INTRODUCTION TO THERMODYNAMICS & HEAT TRANSFER 13 June 2007 Midterm Examination R. Culham This is a 2 hour, open-book examination. You are permitted to use: course text book calculator There are
Availability and Irreversibility
Availability and Irreversibility 1.0 Overview A critical application of thermodynamics is finding the maximum amount of work that can be extracted from a given energy resource. This calculation forms the
Exam #2: Fluid Kinematics and Conservation Laws April 13, 2016, 7:00 p.m. 8:40 p.m. in CE 118
CVEN 311-501 (Socolofsky) Fluid Dynamics Exam #2: Fluid Kinematics and Conservation Laws April 13, 2016, 7:00 p.m. 8:40 p.m. in CE 118 Name: : UIN: : Instructions: Fill in your name and UIN in the space
Pressure Volume Temperature Relationship of Pure Fluids
Pressure Volume Temperature Relationship of Pure Fluids Volumetric data of substances are needed to calculate the thermodynamic properties such as internal energy and work, from which the heat requirements
Name: Discussion Section:
CBE 141: Chemical Engineering Thermodynamics, Spring 2017, UC Berkeley Midterm 2 FORM A March 23, 2017 Time: 80 minutes, closed-book and closed-notes, one-sided 8 ½ x 11 equation sheet allowed Please show
Chapter 14. Molar Mass Distribution.
Chapter 14. Molar Mass Distribution. Difficulty with M n and M w, etc. osome polymers are hard to describe from just M n, M w, etc. o Examples: Bimodal, multimodal, nonuniform, broad, etc. MWDs. oin early
Name: 10/21/2014. NE 161 Midterm. Multiple choice 1 to 10 are 2 pts each; then long problems 1 through 4 are 20 points each.
NE 161 Midterm Multiple choice 1 to 10 are 2 pts each; then long problems 1 through 4 are 20 points each. 1. Which would have a higher mass flow rate out of a 1 ft 2 break, a. 200 psia subcooled water
Data reconciliation and optimal operation of a catalytic naphtha reformer
Data reconciliation and optimal operation of a catalytic naphtha reformer Tore Lid Statoil Mongstad 5954 Mongstad Sigurd Skogestad Department of Chemical Engineering Norwegian Univ. of Science and Technology
DEVELOPMENT OF A COMPOSITIONAL RESERVOIR SIMULATOR FOR ASPHALTENE PRECIPITATION BASED ON A THERMODYNAMICALLY CONSISTENT MODEL.
DEVELOPMENT OF A COMPOSITIONAL RESERVOIR SIMULATOR FOR ASPHALTENE PRECIPITATION BASED ON A THERMODYNAMICALLY CONSISTENT MODEL A Thesis by KARIN GABRIELA GONZALEZ ABAD Submitted to the Office of Graduate
ALPHA NORTH STRUCTURE GEOCHEMICAL STUDY OF FLUIDS (MFT 2 AND MFT 4)
S. N. E. A. (P) DIRECTION EXPLORATION DIVISION RECHERCHES et APPLICATIONS en GEOLOGIE LABORATOIRE ETABLISSEMENT DE BOUSSENS EP/S/EXP/RAG Lab. Bss n 137/84 RP /cas mm *»*> 50/67 WELL (NORWAY) ALPHA NORTH
The Rachford-Rice Contest
The Rachford-Rice Contest If you re a student, here s your chance to win $000! At least the first three who outperform the Rachford-Rice algorithm of phantom-engineer Aaron Zick. Professionals who beat
(Refer Slide Time: 00:00:43 min) Welcome back in the last few lectures we discussed compression refrigeration systems.
Refrigeration and Air Conditioning Prof. M. Ramgopal Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Lecture No. # 14 Vapour Absorption Refrigeration Systems (Refer Slide
Development of a General Method for Modeling Asphaltene Stability
Energy & Fuels 2009, 23, 1147 1154 1147 Development of a General Method for Modeling Asphaltene Stability Francisco M. Vargas, Doris L. Gonzalez, Jefferson L. Creek, Jianxin Wang, Jill Buckley, George
Analyzing solubility of acid gas and light alkanes in triethylene glycol
From the SelectedWorks of ali ali 208 Analyzing solubility of acid gas and light alkanes in triethylene glycol ali ali Available at: https://works.bepress.com/bahadori/8/ Journal of Natural Gas Chemistry
Introduction to Formation Evaluation Abiodun Matthew Amao
Introduction to Formation Evaluation By Abiodun Matthew Amao Monday, September 09, 2013 Well Logging PGE 492 1 Lecture Outline What is formation evaluation? Why do we evaluate formation? What do we evaluate?
Mass Transfer Operations I Prof. Bishnupada Mandal Department of Chemical Engineering Indian Institute of Technology, Guwahati
Mass Transfer Operations I Prof. Bishnupada Mandal Department of Chemical Engineering Indian Institute of Technology, Guwahati Module - 5 Distillation Lecture - 5 Fractional Distillation Welcome to the
Lecture 4. The Second Law of Thermodynamics
Lecture 4. The Second Law of Thermodynamics LIMITATION OF THE FIRST LAW: -Does not address whether a particular process is spontaneous or not. -Deals only with changes in energy. Consider this examples:
PVT EXPERIMENTAL AND MODELLING STUDY OF SOME SHALE RESERVOIR FLUIDS FROM ARGENTINA #
Brazilian Journal of Chemical Engineering ISSN 0104-6632 Printed in Brazil www.scielo.br/bjce Vol. 35, No. 02, pp. 313-326, April - June, 2018 dx.doi.org/10.1590/0104-6632.20180352s20160321 PVT EXPERIMENTAL
Reactors. Reaction Classifications
Reactors Reactions are usually the heart of the chemical processes in which relatively cheap raw materials are converted to more economically favorable products. In other cases, reactions play essential
II/IV B.Tech (Regular) DEGREE EXAMINATION. (1X12 = 12 Marks) Answer ONE question from each unit.
Page 1 of 8 Hall Ticket Number: 14CH 404 II/IV B.Tech (Regular) DEGREE EXAMINATION June, 2016 Chemical Engineering Fourth Semester Engineering Thermodynamics Time: Three Hours Maximum : 60 Marks Answer
Comparison of distillation arrangement for the recovery process of dimethyl sulfoxide
Korean J. Chem. Eng., 24(3), 438-444 (2007) SHORT COMMUNICATION Comparison of distillation arrangement for the recovery process of dimethyl sulfoxide Jungho Cho and Dong Min Kim* Department of Chemical
Gas Condensate Relative Permeability for Well Calculations
Transport in Porous Media 52: 279 311, 2003. 2003 Kluwer Academic Publishers. Printed in the Netherlands. 279 Gas Condensate Relative Permeability for Well Calculations CURTIS H. WHITSON 1,2, ØIVIND FEVANG
Modelling of CO 2 storage and long term behaviour in the Casablanca field
Available online at www.sciencedirect.com Energy Procedia 1 (2009) (2008) 2919 2927 000 000 GHGT-9 www.elsevier.com/locate/xxx www.elsevier.com/locate/procedia Modelling of CO 2 storage and long term behaviour
Fuel Cell System Model: Auxiliary Components
2 Fuel Cell System Model: Auxiliary Components Models developed specifically for control studies have certain characteristics. Important characteristics such as dynamic (transient) effects are included
Select the Right Hydrocarbon Molecular Weight Correlation
Select the Right Hydrocarbon Molecular Weight Correlation By Donald F. Schneider, P.E. Chemical Engineer Stratus Engineering, Inc. PMB 339 2951 Marina Bay Drive #130 League City, Texas 77573 (281) 335-7138
Chapter 2: The Physical Properties of Pure Compounds
Chapter 2: The Physical Properties of Pure Compounds 2-10. The boiler is an important unit operation in the Rankine cycle. This problem further explores the phenomenon of boiling. A. When you are heating
Data reconciliation and optimal operation of a catalytic naphtha reformer
Data reconciliation and optimal operation of a catalytic naphtha reformer Tore Lid Statoil Mongstad 5954 Mongstad Sigurd Skogestad Department of Chemical Engineering Norwegian Univ. of Science and Technology
Processes and Process Variables
FACULTY OF PETROLEUM & RENEWABLE ENERGY ENGINEERING Course Learning Outcomes Chapter 2 Processes and Process Variables At the end of this course students will be able to Calculate the composition in term
A) 2.0 atm B) 2.2 atm C) 2.4 atm D) 2.9 atm E) 3.3 atm
Name: Date: 1. On a cold day ( 3 C), the gauge pressure on a tire reads 2.0 atm. If the tire is heated to 27 C, what will be the absolute pressure of the air inside the tire? A) 2.0 atm B) 2.2 atm C) 2.4
Distributed Parameter Systems
Distributed Parameter Systems Introduction All the apparatus dynamic experiments in the laboratory exhibit the effect known as "minimum phase dynamics". Process control loops are often based on simulations
Part One: The Gas Laws. gases (low density, easy to compress)
CHAPTER FIVE: THE GASEOUS STATE Part One: The Gas Laws A. Introduction. 1. Comparison of three states of matter: fluids (flow freely) solids condensed states liquids (high density, hard to compress) gases
Chapter 7. Entropy. by Asst.Prof. Dr.Woranee Paengjuntuek and Asst. Prof. Dr.Worarattana Pattaraprakorn
Chapter 7 Entropy by Asst.Prof. Dr.Woranee Paengjuntuek and Asst. Prof. Dr.Worarattana Pattaraprakorn Reference: Cengel, Yunus A. and Michael A. Boles, Thermodynamics: An Engineering Approach, 5th ed.,