Interpreting Horizontal Well Flow Profiles and Optimizing Well Performance by Downhole Temperature and Pressure Data

Interpreting Horizontal Well Flow Profiles and Optimizing Well Performance by Downhole Temperature and Pressure Data. (December 2010) Zhuoyi Li, B.E., Tsinghua University (Beijing); M.E., Tsinghua University (Beijing) Chair of Advisory Committee: Dr. Ding Zhu Horizontal well temperature and pressure distributions can be measured by production logging or downhole permanent sensors, such as fiber optic distributed temperature sensors (DTS). Correct interpretation of temperature and pressure data can be used to obtain downhole flow conditions, which is key information to control and optimize horizontal well production. However, the fluid flow in the reservoir is often multiphase and complex, which makes temperature and pressure interpretation very difficult. In addition, the continuous measurement provides transient temperature behavior which increases the complexity of the problem. To interpret these measured data correctly, a comprehensive model is required. In this study, an interpretation model is developed to predict flow profile of a horizontal well from downhole temperature and pressure measurement. The model consists of a wellbore model and a reservoir model. The reservoir model can handle transient, multiphase flow and it includes a flow model and a thermal model. The calculation of the reservoir flow model is based on the streamline simulation and the

[1]  Akhil Datta-Gupta,et al.  Streamlines, ray tracing and production tomography: generalization to compressible flow , 2000 .

[2]  H. Foucault,et al.  A Successful Experience For Fiber Optic And Water Shut Off On Horizontal Wells With Slotted Liner Completion In An Extra Heavy Oil Field , 2004 .

[3]  Khalid Aziz,et al.  A homogeneous model for gas-liquid flow in horizontal wells , 2000 .

[4]  Dale Doty,et al.  Predicting temperature profiles in a flowing well , 1991 .

[5]  Akhil Datta-Gupta,et al.  A Comparison of Travel-Time and Amplitude Matching for Field-Scale Production-Data Integration: Sensitivity, Nonlinearity, and Practical Implications , 2005 .

[6]  C. Ehlig-Economides,et al.  Determining Multilayer Formation Properties From Transient Temperature and Pressure Measurements , 2012 .

[7]  A. Carnegie,et al.  Application of new generation technology to horizontal well production logging : Examples from the North West Shelf of Australia , 1998 .

[8]  Bulent Izgec.  Transient Fluid and Heat Flow Modeling in Coupled Wellbore/Reservoir Systems , 2006 .

[9]  Khafiz Muradov,et al.  Temperature Modelling and Analysis of Wells with Advanced Completion , 2009 .

[10]  George Albert Brown,et al.  Monitoring Production from Gravel-Packed Sand-Screen Completions on BP's Azeri Field Wells Using Permanently Installed Distributed Temperature Sensors , 2007 .

[11]  P. Bartel,et al.  Gas Shutoff Evaluation and Implementation, North Slope, Alaska , 2002 .

[12]  Jiten D. Kaura,et al.  Successful Flow Profiling of Gas Wells Using Distributed Temperature Sensing Data , 2006 .

[13]  P. M. Dranchuk,et al.  Calculation of Z Factors For Natural Gases Using Equations of State , 1975 .

[14]  L. Lake,et al.  Enhanced Oil Recovery , 2017 .

[15]  E. F. Johnson,et al.  Calculation of Relative Permeability from Displacement Experiments , 1959 .

[16]  G. Willhite.  Over-all Heat Transfer Coefficients in Steam And Hot Water Injection Wells , 1967 .

[17]  Yalchin Efendiev,et al.  An Efficient Two-Stage Sampling Method for Uncertainty Quantification in History Matching Geological Models , 2008 .

[18]  Akhil Datta-Gupta,et al.  A Comparison of Travel-Time and Amplitude Matching for Field-Scale Production Data Integration: Sensitivity, Non-Linearity and Practical Implications , 2003 .

[19]  Alfred Daniel Hill,et al.  A rigorous formation damage skin factor and reservoir inflow model for a horizontal well , 2003 .

[20]  D. W. Peaceman.  Interpretation of well-block pressures in numerical reservoir simulation with nonsquare grid blocks and anisotropic permeability , 1983 .

[21]  C. Ehlig-Economides,et al.  Model for Transient Temperature and Pressure Behavior in Commingled Vertical Wells (Russian) , 2008 .

[22]  Roland N. Horne,et al.  Modeling Reservoir Temperature Transients and Matching to Permanent Downhole Gauge Data for Reservoir Parameter Estimation , 2008 .

[23]  D. W. Pollock.  Semianalytical Computation of Path Lines for Finite‐Difference Models , 1988 .

[24]  R. J. North,et al.  Improved Production Log Interpretation in Horizontal Wells Using a Combination of Pulsed Neutron Logs, Quantitative Temperature Log Analysis, Time Lapse LWD Resistivity Logs and Borehole Gravity , 1998 .

[25]  André G. Journel,et al.  A package for geostatistical integration of coarse and fine scale data , 2009, Comput. Geosci..

[26]  George Albert Brown,et al.  Monitoring of Real-Time Temperature Profiles Across Multizone Reservoirs during Production and Shut in Periods Using Permanent Fiber-Optic Distributed Temperature Systems , 2005 .

[27]  Paul Huckabee,et al.  Optic Fiber Distributed Temperature for Fracture Stimulation Diagnostics and Well Performance Evaluation , 2009 .

[28]  Stephen H. Poland,et al.  Modeling Flow Profile using Distributed Temperature Sensor (DTS) System , 2008 .

[29]  G. Jerauld.  General Three-Phase Relative Permeability Model for Prudhoe Bay , 1997 .

[30]  E. Arquis,et al.  MOTHER: A Model for Interpreting Thermometrics , 1994 .

[31]  Jennifer Yvonne Julian.  Downhole Leak Determination Using Fiber-Optic Distributed-Temperature Surveys at Prudhoe Bay, Alaska , 2007 .

[32]  H. J. Ramey.  Wellbore Heat Transmission , 1962 .

[33]  Khalid Aziz,et al.  General wellbore flow model for horizontal, vertical, and slanted well completions , 1996 .

[34]  Michael A. Saunders,et al.  LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.

[35]  N. Chen.  An Explicit Equation for Friction Factor in Pipe , 1979 .

[36]  T. K. Perkins.  Critical and subcritical flow of multiphase mixtures through chokes , 1993 .

[37]  Jianrong Wang,et al.  Applications of a new multiple sensor production logging system for horizontal and highly-deviated multiphase producers , 2000 .

[39]  Qing Yang,et al.  A Generalized Predictive Control for Management of an Intelligent Well's Downhole, Interval Control Valves—Design and Practical Implementation , 2009 .

[40]  Akhil Datta-Gupta,et al.  Field Experiences with Assisted and Automatic History Matching Using Streamline Models , 2004 .

[41]  Akhil Datta-Gupta,et al.  Optimal Waterflood Management Using Rate Control , 2006 .

[42]  Roland N. Horne,et al.  Proactive Optimization of Oil Recovery in Multilateral Wells Using Real Time Production Data , 2009 .

[43]  C. S. Kabir,et al.  A Wellbore/Reservoir Simulator for Testing Gas Wells in High-Temperature Reservoirs , 1996 .

[44]  Akhil Datta-Gupta,et al.  Field Experiences With History Matching an Offshore Turbiditic Reservoir Using Inverse Modeling , 2006 .

[45]  Larry W. Lake,et al.  Prediction of temperature changes caused by water or gas entry into a horizontal well , 2007 .

[46]  David Belanger,et al.  Flow Profiling by Distributed Temperature Sensor (DTS) System - Expectation and Reality , 2006 .

[47]  Abdus Satter,et al.  Heat Losses During Flow of Steam Down a Wellbore , 1965 .

[48]  R. A. Behrens,et al.  Incorporating Seismic Attribute Maps in 3D Reservoir Models , 1998 .

[49]  Clayton V. Deutsch,et al.  FLUVSIM: a program for object-based stochastic modeling of fluvial depositional systems , 2002 .

[50]  K. Yoshioka.  Detection of water or gas entry into horizontal wells by using permanent downhole monitoring systems , 2007 .

[51]  K. Muradov,et al.  Prediction of Temperature Distribution in Intelligent Wells , 2008 .

[52]  D. Oliver,et al.  Markov chain Monte Carlo methods for conditioning a permeability field to pressure data , 1997 .