[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ibrahima et al., 2017 - Google Patents

Reduced-Physics Modeling and Optimization of Mature Waterfloods

Ibrahima et al., 2017

Document ID
16270884021036478795
Author
Ibrahima F
Maqui A
Negreira A
Liang C
Olalotiti F
Khebzegga O
Matringe S
Zhai X
Publication year
Publication venue
Abu Dhabi International Petroleum Exhibition and Conference

External Links

Snippet

Mature waterfloods often present significant Reservoir Management challenges. After an initial boost in oil production, water cuts tend to increase and flood performance starts to decline. Complex reservoirs that have been producing for decades through hundreds or …
Continue reading at onepetro.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • 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
    • 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
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • 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
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • 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
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00—Indexing scheme relating to computer aided design [CAD]

Similar Documents

Publication Publication Date Title
Bhark et al. Assisted history matching benchmarking: Design of experiments-based techniques
Schulte et al. Multi-objective optimization under uncertainty of geothermal reservoirs using experimental design-based proxy models
Li et al. Novel multiple resolutions design of experiment/response surface methodology for uncertainty analysis of reservoir simulation forecasts
CA2992274C (en) Ensemble based decision making
Sarma et al. Efficient and robust uncertainty quantification in reservoir simulation with polynomial chaos expansions and non-intrusive spectral projection
Ibrahima et al. Reduced-Physics Modeling and Optimization of Mature Waterfloods
Zhai et al. Production optimization in waterfloods with a new approach of inter-well connectivity modeling
Salehi et al. A comprehensive adaptive forecasting framework for optimum field development planning
Chen et al. Eur assessment of unconventional assets using parallelized history matching workflow together with rml method
Tadjer et al. Bayesian deep decline curve analysis: A new approach for well oil production modeling and forecasting
Ren et al. A fast history matching and optimization tool and its application to a full field with more than 1,000 wells
Chen et al. Integration of distributed Gauss-Newton with randomized maximum likelihood method for uncertainty quantification of reservoir performance
Ranjan et al. Reservoir Performance Benchmarking to Unlock Further Development of Malaysian Oil Fields
Elharith et al. Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
Zhou et al. Characterizing Curvilinear Features Using the Localized Normal‐Score Ensemble Kalman Filter
Aniemena* et al. Well spacing optimization in shale reservoirs using rate transient analytics
Lin et al. Modeling epistemic subsurface reservoir uncertainty using a reverse Wiener jump–diffusion process
Mishra et al. Developing and validating simplified predictive models for CO2 geologic sequestration
Becerra et al. Uncertainty history matching and forecasting, a field case application
Costa et al. A new methodology to reduce uncertainty of global attributes in naturally fractured reservoirs
Jon et al. Improved Reservoir Management Decisions Using Ensemble Based Methods
Ampomah et al. Probabilistic reserves assessment and evaluation of sandstone reservoir in the Anadarko Basin
Schuetter et al. Experimental design or Monte Carlo simulation? Strategies for building robust surrogate models
Schulze-Riegert et al. Data analysis used in multiple-realization workflows for history matching-a north sea case study
Zalavadia et al. Technical Resource Potential Estimation Using Machine Learning and Optimization for the Delaware Basin