HEAVY-OIL SEISMIC MONITORING at PIKES PEAK, SK I.A. Watson*, L.R. Lines and K.F. Brittle November 20, 2001.

Slides:



Advertisements
Similar presentations
Well-Seismic Ties Lecture 7 Depth Time Synthetic Trace SLIDE 1
Advertisements

Interpretational Applications of Spectral Decomposition
Title Petrophysical Analysis of Fluid Substitution in Gas Bearing Reservoirs to Define Velocity Profiles – Application of Gassmann and Krief Models Digital.
STATIC AND DYNAMIC RESERVOIR CHARACTERIZATION USING
3-D Seismic Waveform Analysis for Reservoir Characterization
Time-Lapse Monitoring of CO2 Injection with Vertical Seismic Profiles (VSP) at the Frio Project T.M. Daley, L.R. Myer*, G.M. Hoversten and E.L. Majer.
Using Simulation to Address Challenges of Subsalt Imaging in Tertiary Basins with Emphasis on Deepwater Gulf of Mexico (Paper 23566) Michael Fehler SEG.
Time-lapse Seismic and AVO Modeling, White Rose, Newfoundland
3-D Fault Visualization with Fracture Swarms
Multicomponent seismic interpretation of the Marcellus shale
Using 3D Seismic Imaging for Mine and Mineral Exploration G. Schuster University of Utah.
5. AVO-AVA Introduction Weak-contrast, short spread approximation for reflection coefficient Information content Classification Tuning effect Examples.
Brian Russell #, Larry Lines #, Dan Hampson. , and Todor Todorov
AASPI Attribute-Assisted Seismic Processing and Interpretation
Seismic Reservoir Characterization of the Morrow A Sandstone Thomas L. Davis & Robert D. Benson CSM Scott Wehner, Chaparral Energy, and Michael D. Raines.
Quantifying Seismic Reflectivity
ISTANBUL UNIVERSITY ASSOCIATE PROF.DR. HÜSEYİN TUR.
74 th EAGE Conference & Exhibition incorporating SPE EUROPEC 2012 Automated seismic-to-well ties? Roberto H. Herrera and Mirko van der Baan University.
Establishing Well to Seismic Tie
Petrotech 2007 AOA Geophysics Inc Integrity Oil Services Specialists in Applied Geophysics.
First Arrival Traveltime and Waveform Inversion of Refraction Data Jianming Sheng and Gerard T. Schuster University of Utah October, 2002.
Wave-Equation Interferometric Migration of VSP Data Ruiqing He Dept. of Geology & Geophysics University of Utah.
Wave-Equation Interferometric Migration of VSP Data Ruiqing He Dept. of Geology & Geophysics University of Utah.
Xi’an Jiaotong University 1 Quality Factor Inversion from Prestack CMP data using EPIF Matching Jing Zhao, Jinghuai Gao Institute of Wave and Information,
Youli Quan & Jerry M. Harris
Small is beautiful: AGL physical modeling and salt measurements N. Dyaur, R. Stewart, and L. Huang Houston May 16,
GG450 March 20, 2008 Introduction to SEISMIC EXPLORATION.
Elastic Inversion Using Partial Stack Seismic Data: Case Histories in China.
Searching for sand reservoirs using 3C-3D seismic data, horizontal well logs, and VSP AGL Update Meeting Houston, Texas May 2 nd, 2012 Robert R. Stewart.
November 19, 2001 Seismic modelling of coal bed methane strata, Willow Creek, Alberta Sarah E. Richardson, Rudi Meyer, Don C. Lawton, Willem Langenberg*
Last week’s problems a) Mass excess = 1/2πG × Area under curve 1/2πG = × in kgs 2 m -3 Area under curve = -1.8 ×10-6 x 100 m 2 s -2 So Mass.
ReferencesInfo Elog Strata Geoview Fundamentals Open Seismic Wavelet Estimation Horizon Picks Low Frequency Model Inversion Near Offset Far Offset Open.
Geology 5660/6660 Applied Geophysics 19 Feb 2014 © A.R. Lowry 2014 For Fri 21 Feb: Burger (§ ) Last Time: Reflection Data Processing Step.
Arnim B. Haase and Robert R. Stewart
The main instrument used is called the sonde. A basic sonde consists of a source and two receivers one-foot apart. The sonde is lowered down the borehole.
Fractures play a major role in many tight reservoirs such as shale, carbonate, and low permeability sand by providing fluid flow conduits, for this reason.
Interpreting a 3C-3D seismic survey, Ross Lake, Saskatchewan
SEISMIC INTERPRETATION
1 RPSEA Project – Facies probabilities from seismic data in Mamm Creek Field Reinaldo J Michelena Kevin Godbey Patricia E Rodrigues Mike Uland April 6,
NS/V noise NS/H noise NS/H earthquakes The use of a very dense seismic array to characterize the Cavola, Northern Italy, active landslide body. By P. Bordoni.
EXPLORATION GEOPHYSICS. EARTH MODEL NORMAL-INCIDENCE REFLECTION AND TRANSMISSION COEFFICIENTS WHERE:  1 = DENSITY OF LAYER 1 V 1 = VELOCITY OF LAYER.
Physical Modeling: Time Lapse, 3D, and VSP Robert W. Wiley Allied Geophysical Laboratories University of Houston.
Analyzing pressure responses to Earth tides for monitoring CO 2 migration Kozo Sato Geosystem Engineering The University of Tokyo.
Seismic Data Driven Reservoir Analysis FORT CHADBOURNE 3-D Coke and Runnels Counties, TX ODOM LIME AND GRAY SAND.
PP and PS imaging and reflectivity of the Ardley coal zone, Red Deer, Alberta Sarah E. Richardson Don C. Lawton.
Sandy Chen*, L.R.Lines, J. Embleton, P.F. Daley, and L.F.Mayo
Ground Vibrations and Air Blasts: Causes, Effects and Abatement.
Reconditioning Seismic Data to Improve Carbonate Stratigraphic Interpretation and Reservoir Characterization, Fullerton Field, West Texas by Hongliu Zeng.
Wave-Equation Waveform Inversion for Crosswell Data M. Zhou and Yue Wang Geology and Geophysics Department University of Utah.
Continuous wavelet transform of function f(t) at time relative to wavelet kernel at frequency scale f: "Multiscale reconstruction of shallow marine sediments.
1 Geophysical Methods Data Acquisition, Analysis, Processing, Modelling, Interpretation.
Does It Matter What Kind of Vibroseis Deconvolution is Used? Larry Mewhort* Husky Energy Mike Jones Schlumberger Sandor Bezdan Geo-X Systems.
A Fiber-Optic Borehole Seismic
Fast Least Squares Migration with a Deblurring Filter 30 October 2008 Naoshi Aoki 1.
68th EAGE Conference and Exhibition, Vienna 1 Impact of Time Lapse Processing on 4D Simultaneous Inversion The Marlim Field Case Study C. Reiser * 1, E.
INSTRUCTOR © 2017, John R. Fanchi
R. G. Pratt1, L. Sirgue2, B. Hornby2, J. Wolfe3
Establishing Patterns Correlation from Time Lapse Seismic
AVO inversion of multi-component data for P and S impedance
Uncertainties in quantitative time-lapse seismic analysis by M
Arnim B. Haase and Robert R. Stewart
Acoustic Reflection 2 (distance) = (velocity) (time) *
Interpreting a 3C-3D seismic survey, Ross Lake, Saskatchewan
Elements of 3D Seismology: Introduction to Interpretation
Upscaling of 4D Seismic Data
Rainbow B time-lapse results
Upscaling Petrophysical Properties to the Seismic Scale
Impedance estimation from PP and PS seismic data: Ross Lake
EXPLORATION GEOPHYSICS
Inverse Crimes d=Lm m=L-1 d Red Sea Synthetics
Presentation transcript:

HEAVY-OIL SEISMIC MONITORING at PIKES PEAK, SK I.A. Watson*, L.R. Lines and K.F. Brittle November 20, 2001

Combined two CREWES papers Combined two CREWES papers – “Heavy-oil time-lapse seismic monitoring at Pikes Peak, Saskatchewan” – “Heavy-oil reservoir characterization using elastic wave properties”

Outline Introduction Introduction Geology Geology Analysis 1: Section Differencing Analysis 1: Section Differencing Analysis 2: Isochron Ratio Analysis 2: Isochron Ratio Analysis 3: Vp/Vs Ratio Analysis 3: Vp/Vs Ratio Conclusions Conclusions

Pikes Peak Time-lapse Injected steam Injected steam – Reduces reservoir impedance – Causes increased compressional wave traveltime Two (time-lapse) seismic lines Two (time-lapse) seismic lines – 2-D lines in co-incident locations 1991 (swath) 1991 (swath) 2000 (multi-component) 2000 (multi-component)

Pikes Peak Heavy-oil field Heavy-oil field Operated by Husky Energy Operated by Husky Energy 40 km east of Lloydminster 40 km east of Lloydminster Over 40 million bbls produced Over 40 million bbls produced Steam injection operation Steam injection operation

DATA 200+ wells 200+ wells D swath D swath C-2D C-2D 2000 VSP 2000 VSP Pikes Peak Field Map

Data Comparison H1991 February sec Hz non-linear 3 vibrators over 20 m 4 sweeps/vp 10 m drag length 40 m source interval 20 m group interval 9 geophones over 20 m 30 CDP fold Bandwidth 14 – 110 Hz H2000 March sec Hz non-linear 2 vibrators over 20 m 4 sweeps/vp No drag 20 m source interval 20 m group interval 6 geophones over 10 m 66 CDP fold Bandwidth 14 – 150 Hz

Data Comparison

Pikes Peak Geology Waseca Trend in Pikes Peak Area Van Hulten, 1984

Pikes Peak Geology Incised valley Incised valley Estuarine -point bars Estuarine -point bars N-S N-S ~500 m depth ~500 m depth Salt dissolution structure Salt dissolution structure and stratigraphic trap and stratigraphic trap 80-90% oil saturation 80-90% oil saturation 5-30 m net pay 5-30 m net pay 32-36% porosity 32-36% porosity 1-10 darcies perm darcies perm. 12° API 12° API Van Hulten, 1984

Analysis 1: Section Differencing Time-lapse differences of Time-lapse differences of – Reflectivity – Acoustic Impedance (AI)

Calibration Required prior to differencing Required prior to differencing Hampson-Russell’s Pro4D Hampson-Russell’s Pro4D Adjustments for: Adjustments for: Time Time Amplitude Amplitude Phase Phase Time window above zone of interest Time window above zone of interest Trace-by-trace gave best results Trace-by-trace gave best results

Refectivity Differencing Applied a wavelet-shaping filter to H2000 Applied a wavelet-shaping filter to H2000 Differences seen below reservoir Differences seen below reservoir Increase in traveltime caused by presence of injected steam Increase in traveltime caused by presence of injected steam Does not allow signal to cancel Does not allow signal to cancel Other differences Other differences Noise Noise Acquisition parameters Acquisition parameters

H1991 Reflectivity Section NS

H2000 Reflectivity Section

Reflectivity Difference Section

Impedance Differencing Applied a band-pass filter, wavelet shaping and time and phase matching to H2000 Applied a band-pass filter, wavelet shaping and time and phase matching to H2000 Significant differences seen within reservoir zone – lower impedance Significant differences seen within reservoir zone – lower impedance Lower AI extends further than expected Lower AI extends further than expected Has the steam reached further? Has the steam reached further? Limited by 2-D section Limited by 2-D section

H1991 AI Section

H2000 AI Section

AI Difference Section

Analysis 2: Isochron Ratio Interpretation based Interpretation based – H1991 and H2000 – Waseca-Sparky interval

Isochron ratio Addition of steam Addition of steam – Vp decrease – Increase in 2000/1991 isochron ratio Position of steam zone predicted on line Position of steam zone predicted on line Seismic line Steam zone on line Steam zone radius Husky, 2000

D2-6 Waseca Core Analysis Temperature (°C) Velocity (m/s) Compressional Source: Core Laboratories

H1991 Reflectivity Section

H2000 Reflectivity Section

2000/1991 P-P Isochron Ratio (Waseca-Sparky)

Analysis 3: Vp/Vs Ratio Interpretation based Interpretation based – H2000 multi-component only – PP and PS sections – 2 intervals

Vp/Vs ratio Addition of steam Addition of steam – Vs decrease < Vp decrease –  Vp/Vs decrease = steamed zone Vp/Vs ratio derived from P-P and P-S interpretations Vp/Vs ratio derived from P-P and P-S interpretations Margrave et al., 1998

D2-6 Waseca Core Analysis Temperature (°C) Velocity (m/s) Shear Compressional Source: Core Laboratories

H2000 P-P (Vertical Component)

H2000 P-S (Radial Component)

Vp/Vs Isochron Ratio (Waseca-Sparky)

Vp/Vs Isochron Ratio (Mnvl to L.Mnvl)

Conclusions Anomalies are generally located where expected Anomalies are generally located where expected Inferred steam response on both the time- lapse and the Vp/Vs ratio plots Inferred steam response on both the time- lapse and the Vp/Vs ratio plots Difficult interpretation on converted wave data Difficult interpretation on converted wave data Potential lateral lithology changes identified Potential lateral lithology changes identified Minimize all variables external to the reservoir Minimize all variables external to the reservoir 3-D seismic data is recommended 3-D seismic data is recommended

Acknowledgements Husky Energy Husky Energy AOSTRA (COURSE) AOSTRA (COURSE) Jason Geosystems Jason Geosystems Hampson-Russell Hampson-Russell CREWES CREWES NSERC and Imperial Oil NSERC and Imperial Oil

PS synthetic: GMA

Acoustic Impedance ( AI ) AI obtained through inversion AI obtained through inversion Band limited result Band limited result Trace-based vs. model-based Trace-based vs. model-based Post-stack interpretation technique Post-stack interpretation technique McQuillin 1984

AI Inversion Reduces effect of wavelet sidelopes and tuning Reduces effect of wavelet sidelopes and tuning Interpret boundaries and evaluate internal properties Interpret boundaries and evaluate internal properties Allows direct comparison of time-lapse surveys Allows direct comparison of time-lapse surveys Inversion performed using Jason Geoscience Inversion performed using Jason Geoscience

Well Months before H91 Months before H00 3B D C B8-6n/a0 2B9-6n/a26 1D10-6n/a12 Injection Information

PS synthetic: matlab 0 300