Data-Driven, Direct Rock-Physics Inversion of Pre-Stack Seismic Data.

Corrales, M.; Ravasi, Matteo; Hoteit, Hussein

doi:10.3997/2214-4609.202210178

Cited by 3 publications

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“…Seis2Rock is a data‐driven approach to petrophysical inversion (Corrales, Hoteit, & Ravasi, 2022). Its main goal is to find a direct mapping between physical coefficients (elastic or petrophysical) and seismic AVO responses (Figure 1).…”

Section: The Seis2rock Methodsmentioning

confidence: 99%

Seis2Rock: A Data‐Driven Approach to Direct Petrophysical Inversion of Pre‐Stack Seismic Data

Corrales,

Hoteit,

Ravasi

2024

Earth and Space Science

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The inversion of petrophysical parameters from seismic data represents a fundamental step in the process of characterizing the subsurface, with applications ranging from subsurface resource exploration to geothermal, carbon capture and storage, and hydrogen storage. We propose a novel, data‐driven approach, named Seis2Rock, that utilizes optimal basis functions learned from well‐log information to create a direct link between pre‐stack seismic data and so‐called band‐limited petrophysical reflectivities. Seis2Rock is composed of two stages: training and inference. During training, a set of optimal basis functions are identified by performing singular value decomposition on one or more synthetic amplitude variation with offset gathers created from measured or rock‐physics synthesized elastic well logs. In inference, seismic pre‐stack data are first projected into a set of band‐limited petrophysical reflectivities using the previously computed basis functions; this is followed by regularized post‐stack seismic inversion of the individual properties. In this work, we apply the Seis2Rock methodology to a synthetic data set based on the Smeaheia reservoir model and to the open Volve field data set. Our numerical results reveal the ability of the proposed method in recovering accurate porosity, shale content, and water saturation models. Finally, the proposed methodology is applied in the context of reservoir monitoring to invert time‐lapse, pre‐stack seismic data for water saturation changes.

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Section: The Seis2rock Methodsmentioning

confidence: 99%

Seis2Rock: A Data‐Driven Approach to Direct Petrophysical Inversion of Pre‐Stack Seismic Data

Corrales,

Hoteit,

Ravasi

2024

Earth and Space Science

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Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs

Corrales

Izzatullah

Ravasi

et al. 2022

Second International Meeting for Applied Geoscience &Amp; Energy

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Reservoir characterization is a critical component in any oil and gas, geothermal, and CO 2 sequestration project. A fundamental step in the process of characterizing the subsurface is represented by the inversion of petrophysical parameters from seismic data. However, this problem suffers from various uncertainty sources originating from inaccuracies in the measurements, modeling errors, and complex geological processes. Moreover, the non-linearity of the rock-physics model and Zoeppritz equation that constitute the modelling operator, further complicates the inversion process. In this work, we propose a novel data-driven approach where well-log information is used to obtain optimal basis functions that link band-limited petrophysical reflectivities to pre-stack seismic data. Subsequently, the inversion of such band-limited reflectivities for petrophysical parameters is framed in a Bayesian framework where a generative adversarial network is used to produce a geologically realistic prior distribution. The trained prior distribution is updated using the Stein Variational Gradient Descent and a set of representative solutions is produced that is consistent with the uncertainties in the data and the nonlinear operators.

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A field data application of RockAVO: Data-driven, direct petrophysical inversion of prestack seismic data

Corrales,

Hoteit,

Ravasi

2023

Third International Meeting for Applied Geoscience &Amp; Energy Expanded Abstracts

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Data-Driven, Direct Rock-Physics Inversion of Pre-Stack Seismic Data.

Cited by 3 publications

References 0 publications

Seis2Rock: A Data‐Driven Approach to Direct Petrophysical Inversion of Pre‐Stack Seismic Data

Seis2Rock: A Data‐Driven Approach to Direct Petrophysical Inversion of Pre‐Stack Seismic Data

Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs

A field data application of RockAVO: Data-driven, direct petrophysical inversion of prestack seismic data

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