13 Questions
Match the following terms with their descriptions:
Geostatistical inversion = Combination of geostatistical simulation tools and forward seismic modeling Seismic data resolution = Limited resolution inherently present in seismic data Multiple realizations = Generated based on well data and spatial distribution of medium properties Most probable realizations = Selected and averaged based on smallest error between model and observed seismic
Match the following methods with their primary function:
Geostatistical simulation = Generate multiple realizations with high resolution Geostatistical inversion = Integrate information from multiple seismic attributes and auxiliary data sources Deterministic inversion = Not mentioned in the given text Forward seismic modeling = Part of geostatistical inversion method combining tools
Match the grid types with their respective vertical resolutions:
Seismic grid = ~20m vertical resolution Geomodel grid = ~1m vertical resolution
Match the following terms with their applications:
Geostatistical inversion technology = Improving resolution by integrating information from multiple sources Seismic data = Inherently limited in resolution
Match the following terms with their definitions:
Geostatistical inversion = Combines geostatistical simulation and deterministic inversion to generate multiple plausible realizations at high detail Deterministic inversion = Estimates elastic properties through minimization of synthetic-seismic misfit, providing only one solution Geostatistical simulation = Interpolates between wells to generate plausible details that are accurate near wells but not in between wells or away from well locations Reservoir modeling = Integrating rock physics, geology, and geophysics information into one model to make development decisions
Match the following statements with the correct technology:
Creates more reliable models for confident development decisions = Geostatistical inversion Estimates risk with higher confidence through multiple realizations = Geostatistical inversion Provides accurate details near wells but not in between wells = Geostatistical simulation Guided by seismic data and provides a smooth result = Deterministic inversion
Match the following descriptions with their main purpose:
Generate realizations with finer detail for imaging thin beds and discrimination of facies and fluids = Geostatistical inversion Delivers information for engineers matching available well logs and the reservoir grid = Geostatistical inversion Improves resolution and generates 3D models of facies and reservoir properties = Geostatistical inversion Integrates a-priori geological information with seismic data to assess uncertainty = Geostatistical inversion
Match the following features with their characteristics:
Provides multiple plausible realizations at high detail vertically and laterally = Geostatistical inversion Accurate within seismic bandwidth but unrealistically smooth result = Deterministic inversion Accurate near wells but not in between wells or away from well locations = Geostatistical simulation Only provides one solution guided by seismic data = Deterministic inversion
Match the following reservoir challenges with their solutions using geostatistical inversion:
A good understanding of the play in exploration and production = Improved solution through geostatistical inversion Integration of rock physics, geology, and geophysics information into one reservoir model = Tight integration achieved with advanced geostatistical inversion technology Creation of more reliable models for confident development decisions = Generation of realizations with finer detail for improved imaging Estimation of risk critical before making decisions to drill or not to drill = Ability to generate multiple realizations for higher confidence in risk estimation
Match the following reservoir properties with their examples:
Facies = Shale, brine sand, oil sand, gas sand Reservoir properties = Porosity, saturation, permeability Realizations attributes = Net Pore Hydrocarbon Volume (NPHV) Reservoir attribute based on multiple realizations = Calculation of a range instead of a single value
Match the following inversion methods with their characteristics:
Geostatistical inversion = Outputting 3D models of facies and reservoir properties Traditional seismic inversion = Often unable to adequately account for uncertainties in data and geological interpretation
Match the following terms with their meanings:
P10, P50, P90 NPHV values = Realizations/models selected based on cumulative probability Cumulative probability analysis = Selection of realizations/models at specific percentiles Deterministic models = Models that do not incorporate uncertainties Multiple realizations = Generation of different plausible results
Match the following benefits with their descriptions:
Higher detailed reservoir models matching well logs and grid requirements = Delivered by geostatistical inversion technology for Engineers Improved imaging of thin beds, discrimination of facies and fluids, understanding of fluid flow in reservoirs = Achieved by generating realizations with finer detail Risk estimation with higher confidence in exploration and production decisions = Enabled by generating multiple realizations based on robust algorithms Transfer of detail from seismic grid to reservoir grid to provide more information for Engineers = Processed by geostatistical inversion technology
Learn about geostatistical inversion methods, including their motivation, industry applications, and comparison with other inversion techniques. Explore how multiple realizations of elastic properties are generated using geostatistical inversion.
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