Scientia Iranica, Vol. 14, No. 4, pp 358{368 c Sharif University of Technology, August 2007 Research Note Evaluation of Empirically Derived PVT Proper

Similar documents
Evaluation of Three Different Bubble Point Pressure Correlations on Some Libyan Crude Oils

Novel empirical correlations for estimation of bubble point pressure, saturated viscosity and gas solubility of crude oils

Validation Study of Gas Solubility Correlations at bubble point pressure for Some Libyan Crude Oils Using Three chosen Correlations

Development of PVT Correlation for Iraqi Crude Oils Using Artificial Neural Network

A Study of Ocean Waves at Fisherman s Wharf, Victoria Harbour

Experimental Investigation of Pressure Flushing Technique in Reservoir Storages

New Viscosity Correlation for Different Iraqi Oil Fields

Optimization for Bus Stop Design Based on Cellular Automaton Traffic Model

VALIDATION OF THE ASAR WAVE MODE LEVEL 2 PRODUCT USING WAM AND BUOY SPECTRA

Cold Formed Steel Tension Members with Two and Three Staggered Bolts

MEASUREMENT OF DYNAMIC STRESSES ON CARRIERS WITH DETACHABLE GRIP AT STATION ENTRANCE: LA.T.I.F. EXPERIENCES AND FUTURE PROSPECTS

VEHICLE NO X AND PM10 EMISSION FACTORS FROM SYDNEY S M5-EAST TUNNEL

Fluid-structure interaction between trains and noise-reduction barriers: numerical and experimental analysis

In the Absence of PVT Analysis determination of Bubblepoint for Petroleum Reservoir

International Journal of Petroleum and Geoscience Engineering Volume 03, Issue 01, Pages 56-60, 2015

CREST LEVEL OPTIMIZATION OF THE MULTI LEVEL OVERTOPPING BASED WAVE ENERGY CONVERTER SEAWAVE SLOT-CONE GENERATOR. J. P. Kofoed 1 and E.

MEMORANDUM: INTERIM CONCEPTS

Wave Crest Distributions: Observations and Second-Order Theory

COPYRIGHT. Reservoir Fluid Fundamentals. Reservoir Brine Basic Workflow Exercise Review. Brine Density at Standard Conditions

MACHINE MILKING AND DAILY CHANGES OF COW S TEAT CONDITION

reviewed paper Public transport travel time simulation Tomáš CHLEBNICAN, Jiří CTYROKY, Marek ZDERADICKA

A Graphic Method to Estimate the Wind Speed under Urban Canopy Layer

Full Internal Relief Valves Instruction Manual

SPE Copyright 2001, Society of Petroleum Engineers Inc.

International Journal of Petroleum and Geoscience Engineering Volume 03, Issue 02, Pages , 2015

Hydraulic jump in stilling basin with vertical end sill

INTERNATIONAL JOURNAL OF CIVIL AND STRUCTURAL ENGINEERING Volume 2, No 3, 2012

Heat Transfer Effect of Inert Gas on Multi-Tubular Reactor for Partial Oxidation Reaction

Reservoir Fluid Fundamentals COPYRIGHT. Dry Gas Fluid Basic Workflow Exercise Review

Turbulence and waves in numerically simulated slope flows

PETROLEUM ENGINEERING 310 SECOND EXAM. October 23, 2002

Optimization of Separator Train in Oil Industry

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

MEMORANDUM. TNC Fisher Slough Final Design and Permitting Subject: Large Wood Debris Design. Jenny Baker (TNC) Dave Olson (DD3)

Calculation of Actual Concrete Shrinkage Magnitude

Surface Tension Measurement with an Optofluidic Sensor

Synthesis of a multivariate extreme sea climate

The Feature of Weak Shock Wave Propagated in a Overlong Tunnel

Semi-Quantitative Freshwater Mussel Survey Date Prepared: 11/20/2017

Mechanical Waves: Applications in Medicine. How Elastography is Helping Doctors Avoid the Biopsy Needle

Original Article. Effectiveness of a specialized climbing method for beginners on the physical and technical fitness of 8-10 year old children

Application of single-step genomic evaluation for crossbred performance in pig 1

INFLUENCE OF THE EXHAUST GAS RECIRCULATION ON THE OXYGEN CONTENTS AND ITS EXCESS RATIO IN THE ENGINE COMBUSTION CHAMBER

Device-Free Passive Identity Identification via WiFi Signals

PVT Analysis Reports of Akpet GT9 and GT12 Reservoirs

ESCI 485 Air/sea Interaction Lesson 4 Waves Dr. DeCaria

Effect of Altering Handle Position of a Rolling Walker on Gait in Children with Cerebral Palsy

Calorimetric Validation of the Caltrac Accelerometer During Level Walking

A New Surface Model for Cyclone Anticyclone Asymmetry

GAS CONDENSATE RESERVOIRS. Dr. Helmy Sayyouh Petroleum Engineering Cairo University

Hybrid Airfoil Design Method to Simulate Full-Scale Ice Accretion Throughout a Given a Range

CHANGE OF NEARSHORE SIGNIFICANT WAVES IN RESPONSE TO SEA LEVEL RISE. Se-Hyeon Cheon 1 and Kyung-Duck Suh 1

Measuring and Evaluation on Priority Lanes

Chapter 14. Gas-liquid Transfer

Coordination in CPG and its Application on Bipedal Walking

Dynamic price relationship in crude oil markets

Appendix D. Hangingwall failure mechanisms. Analysis of the literature review

Does culture explain voting biases in association football awards? : The FIFA Ballon d Or 2013 award.

Comfortable and maximum walking speed of adults aged years: reference values and determinants

COMPARISONS OF WAVE OVERTOPPING DISCHARGES AND DAMAGES OF THE NTOU VERTICAL SEAWALL DUE TO TWO SIMILAR SUPER TYPHOONS ON KEELUNG COAST OF TAIWAN

DESIGN & MODIFICATION OF ROLLERS IN TRACKS OF SURFACE DRILLING MACHINES

Self-Start Performance Evaluation in Darrieus-Type Vertical Axis Wind Turbines: Methodology and Computational Tool Applied to Symmetrical Airfoils

Gas Viscosity Measurement and Evaluation for High Pressure and High Temperature Gas Reservoirs

Statistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007

SEISMIC RESPONSE ANALYSIS OF LONG-SPAN CONTINUOUS RIGID-FRAMED BRIDG

Some rankings for the Athens Olympic Games using DEA models with a constant input

U.S. UNCONVENTIONAL MONETARY POLICY AND TRANSMISSION TO EMERGING MARKET ECONOMIES. David Bowman, Juan M. Londono and Horacio Sapriza

Section 2 Multiphase Flow, Flowing Well Performance

COMPARISON BETWEEN THE WIND TUNNEL EXPERIMANT AND CFD ANALYSIS INTENDED FOR APARTMENT HOUSE STUDY OF STUNDARD K-E MODEL AND DURBIN MODEL

THE DESIGN AND APPLICATION OF WIRELESS MEMS INERTIAL MEASUREMENT UNITS FOR THE MEASUREMENT AND ANALYSIS OF GOLF SWINGS

Multi-Frequency Body Composition Analyzer MC-180MA Instruction Manual

New Method for Well Kick Tolerance Calculation

A Review on Experimental Analysis for Rectangular Perforated Fin Array

Comparative Analysis of Five Standard Dry Tropospheric Delay Models for Estimation of Dry Tropospheric Delay in Gnss Positioning

The indications for home mechanical ventilation. Evaluation of the user-friendliness of 11 home mechanical ventilators

A Double Oracle Algorithm for Zero-Sum Security Games. Graphs, Manish Jain, Dmytro Korzhyk, Ondřej Vaněk, Vincent Conitzer,

WATER AERATION USING FINE AIR BUBBLES GENERATORS

Using the Artificial Gas Lift to Increase the Productivity of Noor Oil Field / Mishrif Formation

Redirection of center-of-mass velocity during the step-to-step transition of human walking

Experimental and numerical studies on resistance of a catamaran vessel with non-parallel demihulls

Essential Ingredients for Heavy Orographic Rainfall and their Potential Application for Prediction

Journal of Petroleum Research & Studies NO

An Engineering Approach to Precision Ammunition Development. Justin Pierce Design Engineer Government and International Contracts ATK Sporting Group

MANOEUVRABILITY-BASED CRITICAL TIME FOR PREVENTING CLOSE-QUARTERS SITUATIONS

Proceedings: WORKSHOP ON MARINE "FOR-HIRE" RECREATIONAL FISHERIES SURVEY METHODOLOGY SEPTEMBER 1992

Abstract. DOI: Arctic, Antarctic, and Alpine Research, Vol. 46, No. 4, 2014, pp.

OPTIMISING A BREAKWATER LAYOUT USING AN ITERATIVE ALGORITHM

Failure Data Analysis for Aircraft Maintenance Planning

Fluid Machinery Introduction to the laboratory measurements

EAST PENN SC IIOOL D ISTRICT. East Penn School District. March 26, Ken Phillips. Scott Shearer I RBC. Capital Markets. pfm

Københavns Universitet. Ballet Balance Strategies Pedersen, Camilla; Erleben, Kenny; Sporring, Jon. Published in: Simulation (San Diego, Calif.

CALCULATING THE SPEED OF SOUND IN NATURAL GAS USING AGA REPORT NO Walnut Lake Rd th Street Houston TX Garner, IA 50438

Measurement of the Best Z-Factor Correlation Using Gas Well Inflow Performance Data in Niger-Delta

Name Period Date. Lab 5: The Molar Volume of a Gas

April 29, ,492,391. a. H. S. McQUAD ET AL PROCESS AND APPARATUS FOR HANDLING CHLORINE. Filed Sept. 14, Fig.2. N 3.

ABSTRACT: Ocean wave energy contains the largest energy density

Reservoir Performance of Fluid Systems with Widely Varying Composition (GOR)

Safe Routes to School Engineering Study

Simulation of morphological changes induced by large-scale coastal engineering using a 3D wave current interaction model

Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems

Transcription:

Scientia Iranica Vol. 14 No. 4 pp 358{368 c Sharif Univerity of Technoloy Auut 2007 Reearch Note Evaluation of Empirically Derived PVT Propertie for Middle Eat Crude Oil M.N. Hemmati and R. Kharrat 1 PVT propertie are important parameter in reervoir enineerin. Correlation are ued whenever experimentally derived PVT data are not available and data from local reion are expected to ive better approximation to etimated PVT value. Thi paper evaluate the mot frequently ued empirical black oil PVT correlation for application in the Middle Eat. A will be dicued Empirical PVT Correlation for Middle Eat crude oil have been compared a a function of commonly available PVT data. Correlation have been compared for: Bubble point preure; olution a oil ratio at bubble point preure and oil formation volume factor at bubble point preure. Often thee propertie are required for oil eld computation when there are no experimental or laboratory meaurement available. For comparion of correlation a wide rane of data ha been covered. Approximately ve hundred Preure-Volume-Temperature (PVT) report have been ued in the comparion correlation. The PVT correlation can be ordered with repect to their accuracy: (a) Bubble point preure: The reult of Al-Marhoun and Standin are imilar to Hanafy Dindoruk; (b) Oil formation volume factor: Petroky Glao and Dokla correlation produce imilar reult while Al-Marhoun Standin and Hanafy prediction are dierent and (c) Solution a oil ratio: Standin and Al-Marhoun reult are the ame however Dindoruk Glao and Petroky correlation are le accurate. Error bound of the obtained correlation are calculated and compared to Middle Eat crude oil. All reervoir uid property correlation available in the petroleum enineerin literature were compared with thi databae. INTRODUCTION The calculation of reerve in an oil reervoir or the determination of it performance and economic require a ood knowlede of the uid phyical propertie. Bubble point preure GOR and OFVF are of primary importance in material balance calculation. Ideally thee propertie are determined from laboratory tudie on ample collected from the bottom of the well bore or from the urface. Such experimental data are however not alway available becaue of one or more of thee reaon: a) Sample collected are not reliable b) Sample have not been taken becaue of cot avin c) PVT analye are not available when needed. Thi ituation often occur in production tet interpretation well. In uch cae PVT propertie mut be determined *. Correpondin Author The Reearch Center of Petroleum Univerity Tehran I.R. Iran. 1. The Reearch Center of Petroleum Univerity Tehran I.R. Iran. by uin empirical derived correlation. Obviouly the accuracy of uch correlation i critical for the abovementioned calculation and it i not often known in advance. Depite the reat number of work performed in the pat 50 year on PVT correlation each of them eem to be applicable with a ood reliability only in a well-dened rane of reervoir uid characteritic. Thi i becaue each correlation ha been developed by uin ample belonin to a retricted eoraphical area with imilar uid compoition and API ravity. In particular for oil with ravity le than 22 API the literature i very poor and nearly abent for oil with ravity le than 10 API. DATA DESCRIPTIONS More than 50 Middle Eat oil eld were elected for thi tudy. Thee eld were elected becaue they produce the crude of black oil in nature and the availability of complete PVT report that are neceary for the evaluation and development of the black oil

Evaluation of Empirically Derived PVT Propertie 359 Table 1. Data decription for bubble point preure GOR and bubble point oil FVF correlation. Number of Point PVT Property Minimum Maximum Mean 499 Bubble point preure pia 130 5156 2370.5 499 Solution GOR SCF/STB 26 2266 715.15 499 FVF bbl/stb 1.03 2.54 1.41 499 Temperature F 74 290 165 499 Stock tank oil ravity API 18.80 68.50 31.53 499 Ga ravity (air=1) 0.523 1.50 0.94 Table 2. Rane for bubble point preure olution GOR and oil FVF correlation. Propertie Standin [1] Al-Marhoun [2] Glao [3] Petroky-Farhad [4] Tank oil ravity API 16.5 to 63.8 19.4 to 44.6 22.3 to 48.1 16.3 to 45 Bubble point preure pia 130 to 7000 130 to 3573 165 to 7142 1574 to 6523 Reervoir temperature F 100 to 258 74 to 240 80 to 280 114 to 288 Oil FVF at bubble point bbl/stb 1.024 to 2.15 1.032 to 1.997 1.025 to 2.588 1.1178 to 1.6229 Solution GOR SCF/STB 20 to 1425 26 to 1602 90 to 2637 217 to 1406 Total urface a ravity (air=1) 0.59 to 0.95 0.752 to 1.367 0.65 to 1.276 0.5781 to 0.8519 Separator preure pia 256 to 465-415 (mean) - Separator temperature F 100 (mean) - 125 (mean) - Reervoir preure pia - 20 to 3573-1700 to 10692 correlation. From thee oileld 499 laboratory PVT analye were obtained and ued to compare the correlation. Decription of the data utilized in comparion of each correlation are hown in Table 1 and the rane of input data ued by each author in developin hi correlation i provided in Table 2. COMPARISON OF CORRELATIONS Statitical Error Analyi Averae percent relative error averae abolute percent relative error minimum /maximum abolute percent relative error tandard deviation and correlation coecient were computed for each correlation. Bubble Point Preure Table 3 how the tatitical error analyi reult of the bubble-point preure correlation. Al-Marhoun' [2] correlation ive low value of Abolute Averae Percent Relative Error (AAPRE) and tandard deviation of 6.999 percent and 9.26 percent repectively. A lower value of AAPRE indicate a better accuracy of the correlation. The correlation coecient of the correlation i almot equal to 1.0(0.977). Thi how that a ood areement exit between experimental and calculated bubble point preure. In comparion with other known correlation Al-Marhoun' correlation ive lowet AAPRE and tandard deviation. Thi how that Al-Marhoun' correlation predict better bubble point preure for Middle Eat crude oil than any other known correlation. The cro plot of the experimental aaint the calculated bubble point preure uin correlation are preented in Fiure 1 throuh 7. Mot of the data point of the Al-Marhoun correlation fall very cloe to the perfect correlation of a 45 line. A raphical plot of reidual (the dierence between experimental and calculated bubble point preure) and experimental bubble point preure (hown in Fiure 1) demontrated a uniform ditribution of error with mot of the data point fallin within a 500 pia reidual line. Bubble Point Oil FVF The tatitical error analyi reult of the bubble point oil FVF correlation are compared in Table 4. The Petroky correlation [4] ive a better accuracy in etimatin bubble point oil FVF for Middle Eat crude oil. Amont the correlation both Petroky [4] and Glao [3] correlation eem to be ood correlation their abolute averae deviaton and tandard deviation are very cloe and ive the lowet value of AAPRE. AAD and tandard deviation for Glao

360 M.N. Hemmati and R. Kharrat Table 3. Summary of tatitical meaure for P b for common correlation. Parameter Petroky [4] Glao [3] Standin [1] Al-Marhoun [2] Dindoruk [5] Dokla [6] Hanafy [7] % AAD 42.33 23.45 10.49 6.999 42.43 17.87 22.64 % ARE -18.25 20.94 6.185-4.14 38.54-0.197 17.83 % Max Dev. 784.5 73.13 70.08 43.66 114.21 197.81 192.34 % Min Dev. 0.013 0.281 0.009 0.021 1.010 0.043 0.111 Std. Dev. 112.75 26.87 14.41 9.26 45.25 26.87 34.69 r 0.882 0.865 0.927 0.977 Minu 0.903 0.930 Fiure 1. Cro plot and reidual plot of P b (Al-Marhoun [2]) baed on Middle Eat PVT data. Fiure 2. Cro plot and reidual plot of P b (Standin [1]) baed on Middle Eat PVT data. Fiure 3. Cro plot and reidual plot of P b (Petroky [4]) baed on Middle Eat PVT data.

Evaluation of Empirically Derived PVT Propertie 361 Fiure 4. Cro plot and reidual plot of P b (Glao [3]) baed on Middle Eat PVT data. Fiure 5. Cro plot and reidual plot of P b (Hanafy [7]) baed on Middle Eat PVT data. Fiure 6. Cro plot and reidual plot of P b (Dokla [6]) baed on Middle Eat PVT data. Table 4. Summary of tatitical meaure for B ob for common correlation. Parameter Al-Marhoun [2] Standin [1] Glao [3] Petroky [4] Dokla [6] Dindoruk [5] Hanafy [7] % AAD 1.96 1.93 2.157 1.45 2.608 4.39 8.55 % ARE -1.481 0.98-0.68 0.26-1.38 2.60 8.48 % Max Dev. 15.25 11.73 12.28 13.76 13.08 26.94 23.44 % Min Dev. 0.002 0.001 0.006 0.004 0.005 0.009 0.025 Std. Dev. 2.98 2.74 2.84 2.28 3.4 5.61 9.27 r 0.975 0.945 0.984 0.989 0.983 0.945 0.816

362 M.N. Hemmati and R. Kharrat Fiure 7. Cro plot and reidual plot of P b (Dindoruk [5]) baed on Middle Eat PVT data. Fiure 8. Cro plot and reidual plot of B o (Standin [1]) baed on Middle Eat PVT data. Fiure 9. Cro plot and reidual plot of B o (Al-Marhoun [2]) baed on Middle Eat PVT data. and Petroky are 2.157 and 1.45 percent 2.84 and 2.28 percent repectively. The correlation coecient i 0.984 and 0.989 repectively which i cloe to an ideal value of 1.0. Thi how that the Petroky and Glao correlation correlate better with experimental data than any other correlation. The reidual plot of the bubble point oil formation volume factor obtained from correlation are hown in Fiure 8 throuh 14. It i clear that the mot data point in Fiure 10 and 11 lie between 0:2 reidual line. A mall reidual value indicate a better accuracy of Glao and Petroky correlation in etimatin the bubble point oil FVF for Middle Eat crude oil. Solution GOR The tatitical error analyi reult of the Solution GOR correlation are compared in Table 5. It how

Evaluation of Empirically Derived PVT Propertie 363 Fiure 10. Cro plot and reidual plot of B o (Petroky [4]) baed on Middle Eat PVT data. Fiure 11. Cro plot and reidual plot of B o (Glao [3]) baed on Middle Eat PVT data. Fiure 12. Cro plot and reidual plot of B o (Dokla [6]) baed on Middle Eat PVT data. Table 5. Summary of tatitical meaure for olution GOR for common correlation. Parameter Al-Marhoun [2] Standin [1] Glao [3] Petroky [4] Dindoruk [5] %AAD 10.17 9.45 19.84 22.45 17.93 %ARE 7.83-4.73-19.55 0.53 3.68 %Max. Dev. 49.45 33.77 40.86 300.63 150.4 %Min. Dev. 0.0295 0.0009 0.248 0.152 0.0138 Std. Dev. 13.58 11.78 21.39 44.84 26.76 r 0.960 0.964 0.890 0.862 0.921

364 M.N. Hemmati and R. Kharrat Fiure 13. Cro plot and reidual plot of B o (Dindoruk [5]) baed on Middle Eat PVT data. Fiure 14. Cro plot and reidual plot of B o (Hanafy [7]) baed on Middle Eat PVT data. Fiure 15. Cro plot and reidual plot of R (Al-Marhoun [2]) baed on Middle Eat PVT data. that the Standin [1] and Al-Marhoun [2] correlation have an averae abolute deviation of 9.45% and 10.17% repectively compared to over 22% for Petroky. The correlation coecient are 0.964 and 0.96 repectively which are cloe to an ideal value of 1.0. Thi how that the Standin and Al-Marhoun correlation correlate better with experimental data than any other correlation. The maximum error and tandard deviation of thee correlation are iven in Table 5. Fiure 15 throuh 19 ive cro plot of the value etimated by the ame correlation veru the meaured experimental value. It i clear from both Table 5 and Fiure 15 throuh 19 that the Standin and Al-Marhoun correlation are quite uperior for Middle Eat crude oil than other correlation.

Evaluation of Empirically Derived PVT Propertie 365 Fiure 16. Cro plot and reidual plot of R (Standin [1]) baed on Middle Eat PVT data. Fiure 17. Cro plot and reidual plot of R (Glao [3]) baed on Middle Eat PVT data. Fiure 18. Cro plot and reidual plot of R (Petroky [4]) baed on Middle Eat PVT data. The cro plot of the experimental aaint the calculated olution GOR uin the Standin and Al- Marhoun correlation are preented in Fiure 15 and 16. Mot of the data point of the new correlation fall very cloe to the perfect correlation of the 45 line. A raphical plot of reidual and experimental olution GOR (hown in Fiure 15 and 16) demontrated a uniform ditribution of error with mot of the data point fallin within the 200 SCF/STB reidual line. CONCLUSIONS 1. Empirical correlation for Middle Eat crude oil have been compared for bubble point preure the olution a-oil-ratio and the bubble point oil formation volume factor;

366 M.N. Hemmati and R. Kharrat Fiure 19. Cro plot and reidual plot of R (Dindoruk [5]) baed on Middle Eat PVT data. 2. The PVT correlation can be placed in the followin order with repect to their accuracy: (a) (b) (c) For bubble point preure the prediction of Al- Marhoun and Standin are imilar to Hanafy and Dindoruk; For oil formation volume factor the reult of Petroky Glao Dokla are near to each other while Al-Marhoun Standin and Hanafy correlation are le accurate; For olution a oil ratio Standin and Al- Marhoun ive ood reult while Dindoruk Glao and Petroky are le accurate. 3. Thee correlation were compared for Middle Eat crude oil but they can be ued for etimatin the ame PVT parameter for all type of oil and a mixture with propertie fallin within the rane of data ued in thi tudy; 4. The bubble point oil formation volume factor correlation provided the bet accuracy of the correlation evaluated; 5. Correlation are ued to enerate dierential liberation table for reervoir imulation; 6. Correlation can be tuned for other bain/area or for certain clae of oil. Dev. FVF GOR OFVF P P b PVT r R SCF STB Std. deviation formation volume factor a oil ratio oil formation volume factor preure pia bubble point preure pia preure volume temprature coecient of correlation olution a-oil-ratio SCF STB tandard cubic feet tock tank barrel tandard a pecic ravity (air = 1) o oil pecic ravity (water = 1) Subcript b max min o bubble point maximum minimum a oil olution NOMENCLATURE REFERENCES AAD AAPRE API ARE bbl B o B ob abolute averae deviation abolute averae percent relative error tock-tank oil ravity API aboolute relative error barrel oil formation volume factor bbl/tb oil FVF at bubble point preure bbl/tb 1. Standin M.B. \A preure-volume-temperature correlation for mixture of California oil and ae" Drillin and Production Practice API pp 275-287. 2. Al-Marhoun M.A. \PVT correlation for middle eat crude oil" JPT pp 650-665 (1988). 3. Glao O. \Generalized preure-volume-temperature correlation" JPT pp 785-795 (May 1980). 4. Petroky G.E. Jr. and Farhad F.F. \Preurevolume-temperature correlation for Gulf of Mexico

Evaluation of Empirically Derived PVT Propertie 367 crude oil" SPE 26644 Preented at 68th Annual Meetin of the Society of Petroleum Enineer Houton Texa USA pp 3-6 (1993). 5. Dindoruk B. Peter G. and Chritman \PVT propertie and vicoity correlation for Gulf of Mexico oil" SPE Annual Technical Conference and Exhibition New Orlean Louiiana 30 September-3 Octobor. 6. Dokla M. and Oman M.E. \Correlation of PVT propertie for the UAE crude" SPE Formation Evaluation pp 41-46 (1992). 7. Hanafy H.H. Macary S.A. Elnady Y.M. Bayomi A.A. and El-Batanoney M.H. \Empirical PVT correlation applied to Eyptian crude oil exemplify inicance of uin reional correlation" SPE 37295 SPE Oileld Chem. Int. Symp. (Houton 2/18-21/97) Proc. pp 733-737 (1997). APPENDIX Known PVT Available Correlation for R Standin [1] h i p 1:2048 R = 18:2 + 1:4 10 x ; x =0:0125 API 0:00091(T 460) T = temperature R p = ytem preure pia = olution a pecic ravity. Glao [3] R = h p b = 10x API 0:989 i 1:2255 (T 460) 0:172 (p b ) x =2:8869 [14:1811 3:3093 lo(p)] 0:5. Al-Marhoun [2] R = [a b c o T d P ] e T = temperature R a = 185.843208 b = 1.877840 c = -3.1437 d = -1.32657 e = 1.398441. Petroky and Farhad [4] h R = p 112:727 + 12:340 i 1:73184 0:8439 10 x ; x=7:916(10 4 )(API) 1:5410 4:561(10 5 )(T 460) 1:3911 p = preure pia T = temperature R Dindoruk and Chritman [5] R bp = h pbp a8 + a 9 A = a1apia2 +a3t a 4! 2. a5+ 2AP Ia 6 p a 7 bp a10 10 A i a 11 Coecient Correlation Value a 1 4.86996E-06 a 2 5.7309825539 a 3 9.92510E-03 a 4 1.776179364 a 5 44.25002680 a 6 2.702889206 a 7 0.744335673 a 8 3.359754970 a 9 28.10133245 a 10 1.579050160 a 11 0.928131344 Known PVT Available Correlation for P b Standin [1] 0:83 (10) a 1:4 p b = 18:2 R a =0:00091(T 460) 0:0125(API) p b = bubble-point preure pia T = ytem temperature R. Glao [3] lo(p b ) =1:7669 + 1:7447 lo(p b ) 0:30218[lo(p b )]2 p b = ( R ) a (T ) b (API) c T = ytem temperature F a =0:816 b =0:172 c = 0:989. Al-Marhoun [2] p b = ar b c d o T e T = temperature R a =5:38088 10 3

368 M.N. Hemmati and R. Kharrat b =0:715082 c = 1:87784 d =3:1437 e =1:32657. Petroky and Farhad [4] h i 0:577421 112:727R p b = 1391:051 0:8439 (10) x x =7:916(10 4 )(API) 1:5410 4:561(10 5 )(T 460) 1:3911 p = preure pia T = temperature R. Dokla and Oman [6] p b = 0:836386 10 4 1:01049 0:107991 o T 0:952584 R 0:724047 T = ytem temperature R: Dindoruk and Chritman [5] R p bp = a 9 a 8 a 10 A = a1t a2 +a3api a 4 2. a5+ 2Ra 6 a 7 10 A + a 11 Coecient Correlation Value a 1 1.42828E-10 a 2 2.844591797 a 3-6.74896E-04 a 4 1.225226436 a 5 0.033383304 a 6-0.272945957 a 7-0.084226069 a 8 1.869979257 a 9 1.221486524 a 10 1.370508349 a 11 0.011688308 Known PVT Available Correlation for B o Standin [1] B o = 0:9759 + 0:000120 R o T = temperature R. 0:5 +1:25(T 460) 1:2 Glao [3] B o = 1:0+10 A A = 6:58511 + 2:91329 lo B ob 0:27683(lo B ob )2 B ob = R o T = temperature R. Al-Marhoun [2] 0:526 + 0:968(T 460) B o = 0:497069 + 0:862963 10 3 T +0:182594 10 2 F +0:318099 10 5 F 2 ; F = R a b c o ; a =0:742390; b =0:323294; c = 1:202040; T i the ytem temperature in R. Petroky and Farhad [4] B o = 1:0113 + 7:2046(10 5 ) R 0:3738 +0:24626(T 460) 0:5371 3:0936 ; T = temperature R. Dindoruk and Chritman [5] 0:2914 o 0:6265 B obp = a 11 + a 12 A + a 13 A 2 + a 14 (T 60) API R a 1 a 2 a A = a 3 +a4(t 60) a5 7 +a6r o a8+ 2Ra 9 a 10 (T 60) 2 Coecient Correlation a 1 a 2 a 3 a 4 a 5 a 6 a 7 a 8 a 9 a 10 a 11 a 12 a 13 a 14 Value 2.510755E+00-4.852538E+00 1.183500E+01 1.365428E+05 2.252880E+00 1.007190E+01 4.450849E-01 5.352624E+00-6.309052E-01 9.000749E-01 9.871766E-01 7.865146E-04 2.689173E-06 1.100001E-05