Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.

Slides:



Advertisements
Similar presentations
The Maximum Likelihood Method
Advertisements

Derivation of Kinematic Equations
Design of Experiments Lecture I
IPR Calculation Methods
Coal Bed Methane (CBM) Permeability Testing WTN Network Meeting April , 2011 ExxonMobil Exploration / Well Testing Team.
Screening of a Sulfonamides Library by Supercritical Fluid Chromatography Coupled to Mass Spectrometry (SFC-MS). Preliminary properties-retention study.
© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 15.
Introduction to Chromatographic Separations Due to lack of analytical specificity, separations are often necessary Chromatography is about separations.
Engineering experiments involve the measuring of the dependent variable as the independent one has been altered, so as to determine the relationship between.
Decline Curve Analysis Using Type Curves —
Chapter 13 Introduction to Linear Regression and Correlation Analysis
Nemours Biomedical Research Statistics April 2, 2009 Tim Bunnell, Ph.D. & Jobayer Hossain, Ph.D. Nemours Bioinformatics Core Facility.
©2003 Prentice Hall Business Publishing, Cost Accounting 11/e, Horngren/Datar/Foster Determining How Costs Behave Chapter 10 2/07/05.
Chapter 5 Continuous Random Variables and Probability Distributions
A. Schwendt, A. Nobile, W. Steckle Los Alamos National Laboratory D. Colombant, J. Sethian Naval Research Laboratory D. T. Goodin, N. Alexander, G. E.
Correlation and Linear Regression
© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 22.
Introduction to Linear Regression and Correlation Analysis
Chapter 14 Introduction to Multiple Regression Sections 1, 2, 3, 4, 6.
Schlumberger Public Scope and Application of Pressure Transient Tests in CBM and Shale Gas reservoirs Baijayanta Ghosh Reservoir Domain Champion Testing.
1 Determination of Scaling Laws from Statistical Data Patricio F. Mendez (Exponent/MIT) Fernando Ordóñez (U. South California) Patricio.
Torricelli’s Law and Draining Pipes
Chap 12-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 12 Introduction to Linear.
Correlation Analysis. A measure of association between two or more numerical variables. For examples height & weight relationship price and demand relationship.
Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.
Section 12.2 Linear Regression HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems, Inc. All.
CHROMATOGRAPHY Chromatography basically involves the separation of mixtures due to differences in the distribution coefficient.
2-4 Writing Linear Equations Objective: To write an equation of a line in slope intercept form given the slope and one or two points, and to write an equation.
Time series Decomposition Farideh Dehkordi-Vakil.
Valves In Industry (Part 3)
Integration of Production Analysis and Rate-Time Analysis via Parametric Correlations — Montney Shale Case Histories Yohanes ASKABE Department of Petroleum.
Author: Professor Jon Kleppe
PS 225 Lecture 20 Linear Regression Equation and Prediction.
DESIGN OF CASCADE for AXIAL FLOW COMPRESSORS
Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.
Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Model Building and Model Diagnostics Chapter 15.
Scaling of Effectiveness at a Design Point to Off Design Conditions Author: Peter Martinello Supervisory Committee: Dr. William Lear Dr. Sanim Anghaie.
What can we learn about dynamic triggering in the the lab? Lockner and Beeler, 1999.
Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.
Regression David Young & Louise Kelly Department of Mathematics and Statistics, University of Strathclyde Royal Hospital for Sick Children, Yorkhill NHS.
Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.
Convection in Flat Plate Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi A Universal Similarity Law ……
Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies.
R. Kass/W03 P416 Lecture 5 l Suppose we are trying to measure the true value of some quantity (x T ). u We make repeated measurements of this quantity.
Biostatistics Regression and Correlation Methods Class #10 April 4, 2000.
13 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Forecasting 13 For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
Demand Management and Forecasting Chapter 11 Portions Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Introduction Many problems in Engineering, Management, Health Sciences and other Sciences involve exploring the relationships between two or more variables.
PUMPS Thermal Systems Laboratory Samuel A. Santiago Pérez Modesto González David Alvarado.
Statistical Forecasting
The Maximum Likelihood Method
Chevron Carbonates Shell GOM Sands Phillips Chalk Kerr McGee
Regression Chapter 6 I Introduction to Regression
Stimulation.
What is Correlation Analysis?
Environmental Engineer
Break and Noise Variance
Understanding Standards Event Higher Statistics Award
Gas Condensate Rate Equation
The Maximum Likelihood Method
I271B Quantitative Methods
Adjustment of Temperature Trends In Landstations After Homogenization ATTILAH Uriah Heat Unavoidably Remaining Inaccuracies After Homogenization Heedfully.
Lesson 5.3 How do you write linear equations in point-slope form?
Gas Condensate Blockage
Gas Condensate Blockage
Produced Water Reinjection Performance Joint Industry Project
Scatter Plots Unit 11 B.
Gas Condensate Rate Equation
Presentation transcript:

Produced Water Reinjection Performance Joint Industry Project TerraTek, Inc. Triangle Engineering Taurus Reservoir Solutions (DE&S) E-first Technologies AdvantekVIPS

Calculation of injectivity index (II) Motivation: II is used internally by companies to report and compare data, our aim is to correlate II with PW characteristics It is necessary to use consistent definitions Principle: II is supposed to be a parameter characterizing the injectivity which is “constant” for a given completion and can be used to predict rate or pressure

Standard definition of II (matrix) Q = inj. Rate P bhi, P e = BH inj. And outside radius pressure k w h i = water perm x inj. Height r w, r e = wellbore and outside radius S = skin (account for completion, fracturing)

Standard definition of II Assumptions: Matrix (radial) flow Single phase, pressure maintained at outside radius No thermal effects Etc. etc.

Proper use of parameters (best practices for matrix II evaluation): n Use effective TOTAL mobility of fluids: k ( k rw /  w + k ro /  o ) k ( k rw /  w + k ro /  o ) n Use effective injection kh, if well test available, adjust accordingly n Use some “average” values for viscosities to account for temperature effects (weighted towards cooled region) n Do not include induced fracture in the skin (except propped/acid frac)

What do we use the above II for: n Formula gives EXPECTED II without plugging and S effects – maximum possible injectivity n If we exclude S, allows us to determine total skin from comparison of measured and calculated (theoretical) values n By including various parts of S hopefully we will be able to separate plugging and mechanical (geometry) skin components

II in fracture injection regime n No longer linear relationship between Q and (p wfi – p e ) n Pressure controlled by fracture mechanics: n P bhi = S min +  P compl +  P net = P f –S min = minimum stress = P foc –  P compl = pressure drop through completion –  P net = net pressure in the fracture n May be again linear BUT with (P f – P foc )

II in fracture vs matrix injection regime

Definition of II in fracture inj mode –Matrix definition II = Q / (P bhi – P e ) gives VARIABLE II depending on rate –Correct definition is “differential” : II f = [(Q 2 – Q 1 ) /(P 2 – P 1 )] f –Another expression (for predictions): P wf = P f0 + II f (Q – Q f0 )

II in fracture mode

Calculation of II from P,Q vs time data (observed II) –Matrix mode: customary calculation is correct II n = Q n /(P wf n – P e ) –Fracture mode: customary calculation is incorrect and will UNDERESTIMATE actual II –Best way to calculate not obvious –Conventional evaluation may appear to give a “constant” value because of operation constraints

Example: Heidrun B3H

Example: Heidrun B3H conventional II

Methods for calc of II in fracture regime n Take subsequent time series data: II n = (Q n – Q n-1 )/(P n – P n-1 ) - this produces large scatter n Use Hall plot data: II n = (QSUM n – QSUM n-1 )/(PSUM n -PSUM n-1 ) - is equivalent to the MATRIX (wrong) formula n Use cumulative Hall data: II n = QSUM n /PSUM n - averages the previous (also incorrect)

II methods for fractured inj

Recommended method for calc of II in fracture regime n Evaluate fracture p vs Q trend from p vs Q plot - INTERPRETATION n Determine intercept P int at Q=0 n Calculate II by II n = Q n /(P n – P int ) n Discard values if (P n – P int ) < (P f0 - P int ) – this will eliminate matrix data.

a) Intercept and slope from p vs Q

b) Calculate II

Conclusions n Conventional calculations should not be used in fracture mode (underestimates II, rate dependent) n Proper determination requires independent analysis of slope and intercept in P vs Q plot n Serious problems can result if conventional II is used to develop trends and correlations (e.g., II as a function of water quality and k …)