EAGE Workshop on Seismic Inversion for Reservoir Characterisation

Date
16 - 17 November
Location
Perth, Australia
Registration
Open
Call for papers
Closed

Technical Programme

Call for Abstracts is closed. 

 

Abstract Format

The abstract should be within 1-page and limited to a maximum of 500 words including figures and references, if any. Please refer to the abstract template as above for more detailed formatting.

Topics for Submission

 Session Topic Session Description
Rock Physics Rock physics forms the bridge between elastic rock properties that affect seismic response and the geological properties that we are trying to predict. Understanding rock properties is crucial for any QI workflow. In this session, we will review case studies that demonstrate how data and information are integrated to calibrate or define rock physics models.  We will explore how understanding the rock physics model advances seismic interpretation and/or reservoir characterization.
Seismic Modelling In this session, we will be discussing both the art and science of seismic modelling. This is a broad topic but in essence, it describes the creation of synthetic seismic data based on a model of rock properties from surface to target that are then used to forward model seismic (acoustic) attributes via an algorithm (a set of rules), to then compare this to observed field results. We would be interested in discussion of the challenges of seismic modelling for various uses such as fluid substitution, illumination under complex overburden and amplitude attenuation.
Data Optimisation for AVO Applications AVO is an essential tool in hydrocarbon exploration. This session will discuss on data optimisation for AVO in seismic inversion. AVO inversion methods use pre-stack seismic data and available well data to calibrate, constrain and characterise the spatial distribution of reservoir properties. Seismic data are often acquired and processed to satisfy different business objectives and are not necessarily optimal for seismic inversion. Understanding why and optimizing data for AVO is therefore essential. This session will focus on advances in analytical techniques, standards, diagnostics and best practices in optimising seismic and well data for AVO and inversion studies.
Seismic Inversion (deterministic/geostatistical) This session is targeting the specific elements of a seismic inversion project and the practical application. Presentations can be focused on any subject pertinent to getting high quality seismic inversion results. Examples include: wavelet estimation, well-seismic ties, low frequency model building, inversion quality control and inversion parameterisation. The application to real seismic examples is always optimum, however we will also consider synthetic examples based on simplified geology to illustrate key points.
Reservoir Characterisation Reservoir characterisation represents our understanding of the subsurface through a static model, with a distribution of facies, porosity, permeability, faults and fluid. Geologically robust static models facilitate reserve calculations, assist with well planning, identify stranded hydrocarbons and match production data. Integration of seismic and well data into static models is a long standing challenge. In this session we examine findings, techniques, challenges and solutions of integrating seismic inversion results to provide fit for purpose static models that also represents a robust picture of the earth.
Case Studies This session will use case studies to show how seismic inversion techniques can characterise reservoirs in exploration through to production settings. Objectives are to show how seismic inversion can integrate different types of data, overcome associated geological and geophysical challenges, derive quantitative interpretations and incorporate uncertainty. The outcome will be a practical understanding of seismic inversion for reservoir characterization.

Please contact the EAGE Asia Pacific office at asiapacific@eage.org, should you be interested to participate in the workshop.