Characterization of Subsurface Heterogeneity from 3D Full-WW seismic Inversion for Carbonate Reservoirs

Project Abstract

Characterization of Subsurface Heterogeneity from 3D Full-WW seismic Inversion for Carbonate Reservoirs investigates a novel integrative workflow to quantify and map heterogeneity within carbonate formations by leveraging 3D full-waveform seismic data and advanced inversion techniques. The study develops and validates a data-driven framework that combines adaptive forward modeling, multi-parameter inversion, and uncertainty quantification to recover high-resolution impedances, density, anisotropy, and velocity fields that control fluid distribution and reservoir connectivity. By incorporating full-waveform information, including wavefield effects from complex pore geometries and anisotropic responses, the methodology aims to overcome limitations of conventional migration and impedance inversion in carbonate environments characterized by vuggy porosity, fractures, and diagenetic overprinting. The research advances a multi-stage inversion strategy (i) pre-stack seismic processing and noise attenuation tailored for full-WW data, (ii) joint estimation of elastic parameters through coupled isotropic/anisotropic inversions, (iii) stochastic parametrization of pore-scale heterogeneity to link seismic observables with reservoir rock physics, (iv) incorporation of geological priors from outcrop analogs, core data, and well logs to constrain inversion, and (v) robust uncertainty analysis using Bayesian and ensemble methods to delineate credible intervals for property estimates. The proposed approach not only enhances-resolution imaging of lithofacies distributions, fractures networks, and vuggy zones but also improves prediction of capillary pressures, net-to-gross, and hydrocarbon distribution under varying depletion scenarios. The study emphasizes calibration against synthetic models that emulate carbonate depositional textures and diagenetic alterations, followed by application to real field data sets to demonstrate scalability and translatability to industry workflows. Key contributions include a novel full-WW inversion kernel that efficiently handles complex scattering, a hierarchical imaging strategy that separates large-scale architecture from small-scale heterogeneities, and an integrated uncertainty-quantified reservoir model suitable for history matching and production forecasting. Expected outcomes comprise high-fidelity 3D property volumes, probabilistic maps of heterogeneity drivers such as megafractures, microporosity pockets, and pore throat constrictions, and decision-support metrics for stimulation design, enhanced oil recovery planning, and early reservoir characterization in carbonate plays. The research also evaluates computational performance, data requirements, and workflow interoperability with existing reservoir models. By delivering a validated, reproducible pipeline that translates full-WW seismic observables into geologically meaningful heterogeneity indicators, this work seeks to reduce reservoir risk, optimize well placement, and improve recovery strategies in complex carbonate systems.

Project Overview

What This Project Is About

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A straightforward look at how scientists map underground rock features using 3D seismic data that covers a wide frequency range (Full-Waveform Inversion). The project focuses on carbonate reservoirs, where rock properties can vary a lot in small areas, affecting how oil or gas flows. The goal is to learn where these variations (heterogeneity) exist and how strong they are, by turning seismic signals into a clearer picture of the subsurface.

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The Problem It Addresses

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Objectives of the Project

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1. Explain what subsurface heterogeneity means in carbonate rocks in simple terms.
2. Demonstrate how 3D Full-WW seismic inversion can reveal small-scale features.
3. Assess how different rock properties influence seismic signals.
4. Develop a workflow to integrate seismic results with basic reservoir models.
5. Provide guidelines for interpreting inverted results with uncertainty.

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What You Will Do Step by Step

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1. Review basic geology of carbonate reservoirs and seismic principles.
2. Collect or simulate 3D Full-WW seismic data for a test area.
3. Run inversion to convert seismic data into a 3D property model.
4. Identify key heterogeneity features (e.g., layers, fractures, porosity patterns).
5. Analyze how these features affect fluid flow in simple models.
6. Evaluate uncertainties and compare with available well data.
7. Document a practical workflow for future studies.

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Expected Outcome