DAVID EBUKA DAVID

(158141)

PETROLEUM ENGINEERING

1

VOGEL-TYPE IPR DEVELOPMENT FOR

HORIZONTAL WELLS IN A SOLUTION

GAS DRIVE RESERVOIR

DECEMBER 2015

OUTLINE

2

Problem Statement

Objectives

Introduction

Project Workflow

Results

Comparison with Existing IPR Correlations

Relevance of Project Work

References

3

Problem statement

Most IPR models are for vertical wells

Few correlations exist for horizontal

well IPR other than the straight line

IPR’s of Joshi, Borisov etc.

Assumptions of zero skin, reservoir

homogeneity, constant wellbore

pressure (in long wells), and absence

of non-Darcy flow.

Objectives

• To develop a Vogel-type

horizontal well IPR that accounts

for skin, reservoir heterogeneity,

non-Darcy effect and is simple to

use.

• To generate a future IPR model

INTRODUCTION

4

0

500

1000

1500

2000

2500

0 200 400 600 800 1000 1200

Bo

tto

m h

ole

flo

win

g P

res

su

re, p

si

Producing rate, bopd

Reservoir Pressure

Maximum Producing

rate

PR

ES

SU

RE

FLOW RATEqb

Bubble point

I: Linear

II: Quadratic

Pb

Project WorkflowBase case model construction

(accounting for heterogeneity)Data Assembly and analysis

Skin

IncorporationResults Interpretation

(Regression analysis)

Generation of various

case models (PVT, rel-

perm etc)

Simulation of

Production and

Pressure data

Compare with

existing

correlations

and field data

RESULTS

6

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Pw

f/P

R

Qo/Qomax

IPR Model

IPR Model

y = -0.473x2 – 0.527x + 1

Accounting for Skin

8

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

1.00

0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00

Pw

f/P

r

Qo/Qomax

FE=0.5

FE=0.6

FE=0.7

FE=0.8

FE=0.9

FE=1.0

FE=1.1

FE=1.2

Comparison With Existing Correlations

7

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Pw

f/P

r

Qo/Qomax

Comparison with other horizontal well IPR models

New IPR

Wiggins

Cheng

Retnanto &Economides

Bendakhlia and Aziz

FUTURE IPR

9

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

1.00

0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00

Pr,

f / P

r,p

Qomax,f /Qomax,p

Future IPRCorrelation

CONCLUSION

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The IPR can be used for three

phase flow of oil, water and gas.

The future time IPR generated in

this work is valid for 𝑃𝑅,𝑓

𝑃𝑅,𝑝values

between 0.2 – 1.

The developed correlation closely

approximates the Wiggin’s IPR

correlation

This work is based on cases of

simulated reservoir performance —

validation of the results with field data

should be performed.

The correlation applies to all stages of

depletion but can be further

investigated to generate a Bendakhlia

and Aziz type relationship that properly

accounts for depletion and variation in

bubble point pressures.

RECOMMENDATION

RELEVANCE OF PROJECT WORK

11

Fundamental to production optimization in the field.

It enables engineers do the following;

Consider various operating conditions,

Determine the optimum production scheme,

Design production equipment and artificial lift systems.

REFERENCES

12

Golan M. and Whitson C. H.: “Well Performance (Second Edition),” Norwegian

University of Science and Technology (NTNU), Prentice Hall Inc.

Retnanto A. and Economides M. J.: “Inflow Performance Relationships for

Horizontal and Multi-branched Wells in a Solution-Gas-Drive Reservoir,” Paper

(SPE 49054) presented at the 1998 SPE Annual Technical Conference and

Exhibition, New Orleans, U. S.A., 27-30 September 1998.

Vogel J. V.: “Inflow performance relationships for Solution-Gas Drive Wells,”

Journal of Petroleum Technology (January 1968), pp. 83-93.

Schlumberger Information Solutions, “ECLIPSE Black oil Reservoir Simulation –

Training and Exercise guide V2.0” SIS (2008).