[go: up one dir, main page]

Stephen et al., 2008 - Google Patents

Reducing reservoir prediction uncertainty by updating a stochastic model using seismic history matching

Stephen et al., 2008

Document ID
4440373847520378328
Author
Stephen K
MacBeth C
Publication year
Publication venue
SPE Reservoir Evaluation & Engineering

External Links

Snippet

We have developed a method in which spatial and dynamic information offered by time- lapse, or 4D, seismic surveys is used in history matching of reservoir simulations. Improved predictions of both recovery and areal sweep are then obtained by reducing uncertainty …
Continue reading at onepetro.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30—Analysis
    • G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/62—Physical property of subsurface
    • G01V2210/624—Reservoir parameters
    • G01V2210/6248—Pore pressure
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282—Application of seismic models, synthetic seismograms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/61—Analysis by combining or comparing a seismic data set with other data
    • G01V2210/616—Data from specific type of measurement
    • G01V2210/6163—Electromagnetic
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/003—Seismic data acquisition in general, e.g. survey design
    • G01V1/005—Seismic data acquisition in general, e.g. survey design with exploration systems emitting special signals, e.g. frequency swept signals, pulse sequences or slip sweep arrangements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/66—Subsurface modeling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V99/00—Subject matter not provided for in other groups of this subclass
    • G01V99/005—Geomodels or geomodelling, not related to particular measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/67—Wave propagation modeling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V11/00—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
    • G01V9/007—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 by detecting gases or particles representative of underground layers at or near the surface
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V5/00—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/08—Obtaining fluid samples or testing fluids, in boreholes or wells

Similar Documents

Publication Publication Date Title
Stephen et al. Multiple-model seismic and production history matching: a case study
Rwechungura et al. Advanced history matching techniques reviewed
Gosselin et al. History matching using time-lapse seismic (HUTS)
Grana et al. Seismic driven probabilistic classification of reservoir facies for static reservoir modelling: a case history in the Barents Sea
Picotti et al. Seismic modeling to monitor CO2 geological storage: The Atzbach‐Schwanenstadt gas field
Cheng et al. Field experiences with assisted and automatic history matching using streamline models
Stephen et al. Improved normalization of time‐lapse seismic data using normalized root mean square repeatability data to improve automatic production and seismic history matching in the Nelson field
Chandra et al. Improving reservoir characterization and simulation with near-wellbore modeling
Kazemi et al. Seismic History Matching of Nelson Using Time-Lapse Seismic Data: An Investigation of 4D Signature Normalization
Fawad et al. Monitoring geological storage of CO2 using a new rock physics model
Maleki et al. Quantitative integration of 3D and 4D seismic impedance into reservoir simulation model updating in the Norne Field
Al-Ali et al. Improved carbonate reservoir characterization: A case study from a supergiant field in southern of Iraq
Mirhashemi et al. Efficient sonic log estimations by geostatistics, empirical petrophysical relations, and their combination: Two case studies from Iranian hydrocarbon reservoirs
Falahat et al. Towards quantitative evaluation of gas injection using time‐lapse seismic data
Stephen et al. Reducing reservoir prediction uncertainty by updating a stochastic model using seismic history matching
Orellana et al. Influence of variograms in 3D reservoir-modeling outcomes: An example
Emami Niri 3D and 4D Seismic Data Integration in Static and Dynamic Reservoir Modeling: A Review
Lonardelli et al. Evaluation of oil production related effects through geomechanical modeling: A case study from Marimbá field, Campos Basin, Brazil
Stephen et al. Reducing reservoir prediction uncertainty using seismic history matching
Ahmed et al. The application of the PNN algorithm to evaluate the petrophysical properties of the heterogeneous E-sand reservoirs, Lower Goru Formation, Pakistan
Le Ravalec et al. Integrating data of different types and different supports into reservoir models
Lee et al. Basin‐scale prediction of S‐wave Sonic Logs using Machine Learning techniques from conventional logs
Stephen et al. Faster seismic history matching in a United Kingdom continental shelf reservoir
Kulikowski et al. An automated cross‐validation method to assess seismic time‐to‐depth conversion accuracy: A case study on the Cooper and Eromanga basins, Australia
Hamdi et al. Calibrating multi-point geostatistical models using pressure transient data