Utah Tomography and Utah Tomography and Modeling/Migration Modeling/Migration (UTAM) (UTAM) Consortium Consortium S. Brown, S. Brown, Chaiwoot B. Chaiwoot B. , , W. Cao W. Cao , W. Dai, , W. Dai, S. Hanafy S. Hanafy , G. Zhan, , G. Zhan, G. Schuster G. Schuster , Q. Wu, X. Wang, , Q. Wu, X. Wang, Y. Xue, and S. Zhang Y. Xue, and S. Zhang
44
Embed
Utah Tomography and Modeling/Migration (UTAM) Consortium S. Brown, Chaiwoot B., W. Cao, W. Dai, S. Hanafy, G. Zhan, G. Schuster, Q. Wu, X. Wang, Y. Xue,
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Utah Tomography and Utah Tomography and Modeling/MigrationModeling/Migration (UTAM)(UTAM)
Consortium Consortium
S. Brown, S. Brown, Chaiwoot B.Chaiwoot B., , W. CaoW. Cao, W. Dai, , W. Dai, S. HanafyS. Hanafy, G. Zhan, , G. Zhan, G. SchusterG. Schuster, Q. Wu, X. Wang, , Q. Wu, X. Wang,
Y. Xue, and S. Zhang Y. Xue, and S. Zhang
2009 UTAM2009 UTAM Consortium ConsortiumBPBP
Chevron-TexacoChevron-Texaco
CGG-VeritasCGG-Veritas
Pemex-IMPPemex-IMP
PetrobrasPetrobras
PGSPGS
Pemex-IMPPemex-IMP
PetrobrasPetrobras
Saudi-AramcoSaudi-Aramco
Schlumberger-WGSchlumberger-WG
TGSTGS
TullowTullow
TotalTotal
($30 K/year)($30 K/year)
2009 Annual UTAM 2009 Annual UTAM MeetingMeeting
• Jan. 7-8, 2010Jan. 7-8, 2010• Univ.of Utah, Salt Lake CityUniv.of Utah, Salt Lake City• All 2009 UTAM members invitedAll 2009 UTAM members invited• 3D RTM code by Sam Brown3D RTM code by Sam Brown• 3D waveform tomography code3D waveform tomography code• 2D waveform tomography code2D waveform tomography code
Midyear OverviewMidyear Overview• Multisrc. Least Squares Mig. with DeblurringMultisrc. Least Squares Mig. with Deblurring
Convergence Problem with Strong Velocity Convergence Problem with Strong Velocity Contrast and Narrow Aperture (Chaiwoot)Contrast and Narrow Aperture (Chaiwoot)
00 161644
00
Dep
th (
km)
Dep
th (
km)
X (km)X (km) 15001500
45004500
Vel
ocit
y (m
/s)
Vel
ocit
y (m
/s)
10
Initial Velocity ModelsInitial Velocity Models
00 161644
00
Dep
th (
km)
Dep
th (
km)
Dep
th (
km)
Dep
th (
km)
00
44
X (km)X (km)
v(z) Modelv(z) Model
Traveltime TomogramTraveltime Tomogram
15001500
45004500
Vel
ocit
y (m
/s)
Vel
ocit
y (m
/s)
13
Flooding TechniqueFlooding Technique
00 161644
00
Dep
th (
km)
Dep
th (
km)
Dep
th (
km)
Dep
th (
km)
00
44
X (km)X (km)
Waveform Tomogram after Salt FloodWaveform Tomogram after Salt Flood
Using v(z) Model w/o FloodingUsing v(z) Model w/o Flooding
15001500
45004500
Vel
ocit
y (m
/s)
Vel
ocit
y (m
/s)
Waveform Tomogram after Salt+Sediment FloodWaveform Tomogram after Salt+Sediment Flood
ConclusionsConclusions
1. Not having low 1. Not having low and wide src-rec offset not and wide src-rec offset not necessarily a show stopper necessarily a show stopper
2. Flooding+waveform tomography strategy for2. Flooding+waveform tomography strategy for for subsalt tomographyfor subsalt tomography
3. Problem: Need update strategy for salt 3. Problem: Need update strategy for salt boundary delineation with complicated salt.boundary delineation with complicated salt.
Midyear OverviewMidyear Overview• Multisrc. Least Squares Mig. with DeblurringMultisrc. Least Squares Mig. with Deblurring
• BenefitsBenefits: : Yearly Houston meeting, annual reports, access toYearly Houston meeting, annual reports, access to student interns, expert in fluid flow modeling, seismic, and student interns, expert in fluid flow modeling, seismic, and EM imagingEM imaging
• Goal: Goal: Develop innovative and integration of computational Develop innovative and integration of computational methods for seismic imaging and subsurface fluid flow methods for seismic imaging and subsurface fluid flow modeling. Examples include 3D waveform inversion, 3D RTM,modeling. Examples include 3D waveform inversion, 3D RTM, TI modeling, reservoir fluid simulator. TI modeling, reservoir fluid simulator.
CSIMCSIM
• AdvantagesAdvantages: : More than $2,000,000 in KAUST researchMore than $2,000,000 in KAUST research funds, tightly coupled visualization+supercomputer resourcesfunds, tightly coupled visualization+supercomputer resources + reservoir fluid modeling+ seismic imaging+ reservoir fluid modeling+ seismic imaging
Research GoalsResearch GoalsG.T. Schuster (Columbia Univ.,G.T. Schuster (Columbia Univ., 1984)1984)
Waveform Tomography+RTM+TI+EM+Real Time Steering:Waveform Tomography+RTM+TI+EM+Real Time Steering:
ShaheenShaheen
CorneaCornea
Research GoalsResearch GoalsShuyu Sun (UT Austin, 2005)Shuyu Sun (UT Austin, 2005)
Modeling of multiphase flow in porous media Modeling of multiphase flow in porous media (new approaches for fractures, diffusion, capillarity …) (new approaches for fractures, diffusion, capillarity …)
Advanced finite element methods Advanced finite element methods (dynamic mesh adaption, multiscale resolution, (dynamic mesh adaption, multiscale resolution, element-wise conservation, efficient linear solvers, …) element-wise conservation, efficient linear solvers, …)
Computational thermodynamics of reservoir fluidComputational thermodynamics of reservoir fluid