[go: up one dir, main page]

Botechia et al., 2018 - Google Patents

Investigation of production forecast biases of simulation models in a benchmark case

Botechia et al., 2018

View PDF
Document ID
8285433392724054170
Author
Botechia V
da Silva Gaspar A
Avansi G
Davolio A
Schiozer D
Publication year
Publication venue
Oil & Gas Sciences and Technology–Revue d’IFP Energies nouvelles

External Links

Snippet

Reservoir management decisions are often based on simulation models and probabilistic approaches. Thus, the response of the model must be sufficiently accurate to base sound decisions on and fast enough to be practical for methodologies requiring many simulation …
Continue reading at ogst.ifpenergiesnouvelles.fr (PDF) (other versions)

Classifications

    • 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
    • G01V2210/66—Subsurface modeling
    • 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
    • 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
    • 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
    • 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
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/26—Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
    • G01N33/28—Oils, i.e. hydrocarbon liquids
    • 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
    • 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
    • G01V9/02—Determining existence or flow of underground water
    • 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
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
Hassen et al. 3D geological modeling of the Kasserine Aquifer System, Central Tunisia: New insights into aquifer-geometry and interconnections for a better assessment of groundwater resources
Jiang et al. A quantitative study on accumulation of age mass around stagnation points in nested flow systems
Pedretti et al. Apparent directional mass‐transfer capacity coefficients in three‐dimensional anisotropic heterogeneous aquifers under radial convergent transport
Hamdi Well-test response in stochastic permeable media
Glegola et al. History Matching Time-Lapse Surface-Gravity and Well-Pressure Data With Ensemble Smoother for Estimating Gas Field Aquifer Support—A 3D Numerical Study
Kamali et al. 3D geostatistical modeling and uncertainty analysis in a carbonate reservoir, SW Iran
Abadpour et al. Integrated geo-modeling and ensemble history matching of complex fractured carbonate and deep offshore turbidite fields, generation of several geologically coherent solutions using ensemble methods
Kazemi et al. Seismic History Matching of Nelson Using Time-Lapse Seismic Data: An Investigation of 4D Signature Normalization
AlRassas et al. Integrated static modeling and dynamic simulation framework for CO 2 storage capacity in Upper Qishn Clastics, S1A reservoir, Yemen
US9709697B2 (en) Method for exploiting a geological reservoir by means of a matched reservoir model consistent with the flow properties
Pyrcz et al. Uncertainty in reservoir modeling
Lima et al. Assisted history-matching for the characterization and recovery optimization of fractured reservoirs using connectivity analysis
Al-Mudhafar et al. Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications
Botechia et al. Investigation of production forecast biases of simulation models in a benchmark case
Gazzola et al. Reducing uncertainty on land subsidence modeling prediction by a sequential data-integration approach. Application to the Arlua off-shore reservoir in Italy
Orellana et al. Influence of variograms in 3D reservoir-modeling outcomes: An example
Huseby et al. Natural and conventional tracers for improving reservoir models using the EnKF approach
Lux et al. Evaluation and optimization of multi-lateral wells using MODFLOW unstructured grids
Ostad et al. Fracture network modeling using petrophysical data, an approach based on geostatistical concepts
Hamdi et al. RTA-Assisted Numerical History-Matching Workflow
Dehghani et al. Application of integrated reservoir studies and techniques to estimate oil volumes and recovery—Tengiz Field, Republic of Kazakhstan
Le Ravalec et al. Integrating data of different types and different supports into reservoir models
Fernàndez‐Garcia et al. Conditional stochastic mapping of transport connectivity
Wallace Use of 3-dimensional dynamic modeling of CO₂ injection for comparison to regional static capacity assessments of Miocene sandstone reservoirs in the Texas State Waters, Gulf of Mexico
Sakaki et al. On the value of lithofacies data for improving groundwater flow model accuracy in a three‐dimensional laboratory‐scale synthetic aquifer