Geostatistical Space Time Modeling

•Download as PPT, PDF•

1 like•278 views

sriniosu

Geostatistical interpolation of reservoir responses: A quick surrogate to traditional history matching

Direct Spatiotemporal Interpolation of Reservoir Flow Responses Presented by Shekhar Srinivasan Supervisor: Dr. Sanjay Srinivasan The University of Texas at Austin Petroleum & Geosystems Engineering

History Matching ,[object Object],Porosity Permeability Rock & fluid compressibilities Saturations

History Matching ,[object Object],[object Object],[object Object],Perm field Change map Production response

Objective of Problem Sampled pressure transients Desired pressure data ? P t P t P t P t P t P t P t P t P t P t P t 15000 ft 15000 ft

Time series modeling P t P = a 0 a 1 a 2 + f 2 (t) a n + + … f n (t) f 1 (t) ,[object Object],[object Object],Known basis functions c – y  t sin (  t ) e -t

Wavelets: A Handy Tool Scale 2 Scale 1 Original image

Inverse transform Scale 2 Scale 1 Reconstructed image

Scaling & Translation Scaling parameter ‘m’ Translation parameter ‘n’

Identify structure ,[object Object],[object Object],[object Object],[object Object],S m (32) (16)A m-1 D m-1 (16) D m-2 (8) (8)A m-2 (4)A m-3 D m-3 (4) + Noise Trend Transient map

Well Model ,[object Object],[object Object],[object Object],Plot map at various scales 15000 ft 15000 ft 15000 ft 15000 ft

Infer spatial variability 3 rd time window 1 st time window 4 th time window 2 nd time window ,[object Object],[object Object],[object Object]

Information Networking Sequential simulation Spread of information Spatial correlation Relation between them Simulated nodes Students & visitors Conditional data nodes Company representatives Geostatistical nomenclature Information Networking

Model spatial correlation ,[object Object],[object Object]

Simulated maps at various scales 3 rd time window 1 st time window 4 th time window 2 nd time window ,[object Object],[object Object],[object Object]

Reconstruction ,[object Object],[object Object]

Summary ? ? Pressure data Wavelet decomp Coefficients At all wells Semivariogram ? Interpolation Maps Reconstruction

Advantages ,[object Object],[object Object],[object Object]

What's hot

DSD-INT 2017 The unsaturated zone MetaSWAP-package, recent developments - Van...Deltares

05 modello idrologico_bacini_rocciosi_di_testata_enCIAT

Pierdicca-Igarss2011_july2011.pptgrssieee

Nwp performance gonu Tropical Cyclone conferenceSultan AL-Yahyai

Flood frequency analysisSanjan Banerjee

PresentationVladimir Moya

DSD-INT 2016 The eWaterCyle global Hydrological forecasting system - DrostDeltares

ESA_smpehle_16October2015SIYASANGA MPEHLE

ADNOC_Simulation_ChallengesFaisal Al-Jenaibi

MUSEEmily Hennessy

Fluvial response to climate changeAart-Peter van den Berg van Saparoea

DMUG 2016 - Prof. Alan Robins, University of SurreyIES / IAQM

DSD-INT 2018 River Temperature Modeling, USA - BoyingtonDeltares

DSD-INT 2018 Delft3D FM - validation of hydrodynamics (2D,3D) - De GoedeDeltares

FR1.T03.2 Zou_IGARSS_2011.pptgrssieee

Chromatographyvanessawhitehawk

DSD-INT 2018 Morphodynamic evolution of tidal inlet systems using Delft3D FM:...Deltares

Unsteady radial flow in a confined aquifer Nonequilibrium well pumping equationNaresh Kumar

ForceAbstract110902Stig-Arne Kristoffersen

What's hot (19)

DSD-INT 2017 The unsaturated zone MetaSWAP-package, recent developments - Van...

05 modello idrologico_bacini_rocciosi_di_testata_en

Pierdicca-Igarss2011_july2011.ppt

Nwp performance gonu Tropical Cyclone conference

Flood frequency analysis

Presentation

DSD-INT 2016 The eWaterCyle global Hydrological forecasting system - Drost

ESA_smpehle_16October2015

ADNOC_Simulation_Challenges

MUSE

Fluvial response to climate change

DMUG 2016 - Prof. Alan Robins, University of Surrey

DSD-INT 2018 River Temperature Modeling, USA - Boyington

DSD-INT 2018 Delft3D FM - validation of hydrodynamics (2D,3D) - De Goede

FR1.T03.2 Zou_IGARSS_2011.ppt

Chromatography

DSD-INT 2018 Morphodynamic evolution of tidal inlet systems using Delft3D FM:...

Unsteady radial flow in a confined aquifer Nonequilibrium well pumping equation

ForceAbstract110902

Similar to Geostatistical Space Time Modeling

Hydrological Modelling of Slope StabilityGrigoris Anagnostopoulos

Final-Thesis-present.pptxDrJiweshwarSinha

Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...Putika Ashfar Khoiri

DSD-INT 2017 Vegetated Flow Simulation using Delft3D for a Large-scale Outdoo...Deltares

dahlstrom_doherty_MODFLOW98Dave Dahlstrom

Abstract_DissertationAmir Norouzi

Abstract with Work IndexJignesh Thaker

IGARSS2011_DInSAR_MORRISON.pptgrssieee

DSD-NL 2015, Geo Klantendag D-Series, 5 Grote deformaties bij paalinstallatiesDeltares

Briaud2001quangmaihuy

Electro-acoustic coupling in porous oil-water two-phase systems: Role of liqu...Tarun Kumar

Analytical modelling of groundwater wells and well systems: how to get it r...Anton Nikulenkov

New Methods to Spatially Extend Thermal Response Test AssessmentsJasmin Raymond

Lecture22012.pptxDr. Gazala pravin

Rodriguez_et_al_SWOT_IGARSS2011.pptgrssieee

Implementation of Wilcox k − ω model to UCNS3DArpit Aggarwal

Jwrhe10065 20150204-144509-1366-46826yimer mulate

McGill Ozone Contactor Design ProjectNicholas Mead-Fox

Chaos Soliton Papervramori mitra

Similar to Geostatistical Space Time Modeling (20)

Hydrological Modelling of Slope Stability

Final-Thesis-present.pptx

Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...

DSD-INT 2017 Vegetated Flow Simulation using Delft3D for a Large-scale Outdoo...

dahlstrom_doherty_MODFLOW98

Abstract_Dissertation

Abstract with Work Index

IGARSS2011_DInSAR_MORRISON.ppt

DSD-NL 2015, Geo Klantendag D-Series, 5 Grote deformaties bij paalinstallaties

Briaud2001

Electro-acoustic coupling in porous oil-water two-phase systems: Role of liqu...

Analytical modelling of groundwater wells and well systems: how to get it r...

New Methods to Spatially Extend Thermal Response Test Assessments

Lecture22012.pptx

Rodriguez_et_al_SWOT_IGARSS2011.ppt

Implementation of Wilcox k − ω model to UCNS3D

Jwrhe10065 20150204-144509-1366-46826

McGill Ozone Contactor Design Project

Chaos Soliton Paper

Geostatistical Space Time Modeling

1. Direct Spatiotemporal Interpolation of Reservoir Flow Responses Presented by Shekhar Srinivasan Supervisor: Dr. Sanjay Srinivasan The University of Texas at Austin Petroleum & Geosystems Engineering

4. Objective of Problem Sampled pressure transients Desired pressure data ? P t P t P t P t P t P t P t P t P t P t P t 15000 ft 15000 ft

6. Wavelets: A Handy Tool Scale 2 Scale 1 Original image

7. Inverse transform Scale 2 Scale 1 Reconstructed image

8. Scaling & Translation Scaling parameter ‘m’ Translation parameter ‘n’

10.

11.

12. Information Networking Sequential simulation Spread of information Spatial correlation Relation between them Simulated nodes Students & visitors Conditional data nodes Company representatives Geostatistical nomenclature Information Networking

13.

14. Sequential simulation

15.

16.

17. Summary ? ? Pressure data Wavelet decomp Coefficients At all wells Semivariogram ? Interpolation Maps Reconstruction

18.

19. Questions?

Geostatistical Space Time Modeling

Recommended

Recommended

More Related Content

What's hot

What's hot (19)

Similar to Geostatistical Space Time Modeling

Similar to Geostatistical Space Time Modeling (20)

Geostatistical Space Time Modeling