Geostatistical Inversion Methods Overview
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Questions and Answers

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:

<p>Geostatistical inversion technology = Improving resolution by integrating information from multiple sources Seismic data = Inherently limited in resolution</p> Signup and view all the answers

Match the following terms with their definitions:

<p>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</p> Signup and view all the answers

Match the following statements with the correct technology:

<p>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</p> Signup and view all the answers

Match the following descriptions with their main purpose:

<p>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</p> Signup and view all the answers

Match the following features with their characteristics:

<p>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</p> Signup and view all the answers

Match the following reservoir challenges with their solutions using geostatistical inversion:

<p>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</p> Signup and view all the answers

Match the following reservoir properties with their examples:

<p>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</p> Signup and view all the answers

Match the following inversion methods with their characteristics:

<p>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</p> Signup and view all the answers

Match the following terms with their meanings:

<p>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</p> Signup and view all the answers

Match the following benefits with their descriptions:

<p>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</p> Signup and view all the answers

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