Sweet Spots Identification over a Basin-Center Gas Play Utilizing Deterministic Seismic Inversion

2011 ◽  
Author(s):  
M.G. Al-Otaibi ◽  
M. Al-Duhailan ◽  
M. Al-Mahmoud
Keyword(s):  
Seismic Inversion ◽  
Sweet Spots

Measure twice, cut once: determining Roseneath Epsilon Murteree (REM) shale gas potential with point-source, point-receiver full-azimuth acquisition

2013 ◽  
Vol 53 (2) ◽  
pp. 453
Author(s):  
Anastasia Poole ◽  
Jennifer Badry ◽  
Gabriele Busanello ◽  
Brendon Mitchell ◽  
David Schmidt
Keyword(s):  
Point Source ◽  
Shale Gas ◽  
Best Practice ◽  
Survey Design ◽  
Seismic Inversion ◽  
Stress Regime ◽  
Uniform Noise ◽  
Seismic Acquisition ◽  
Structure Heterogeneity ◽  
Sweet Spots

The key to the successful exploitation of shale resources, such as the REM shale gas interval in Queensland, is to obtain maximum reservoir contact by efficient drilling and hydraulic fracturing. This can be achieved by identifying areas of the reservoir already naturally fractured or where minimum effort is required for stimulation. Detection of these so-called sweet spots can be crucial for efficient reservoir development. Seismic methods can be used in shale gas reservoir characterisation studies to achieve an improved understanding of the structure, heterogeneity, and geotechnical stress regime of the reservoir and related containment, leading to identification of the desired production sweet spots and optimum placement of future wells. To achieve this, much more stringent requirements are placed on the quality and characteristics of seismic data than would be needed for a purely structural image. Innovative best-practice solutions based on experience in the basin and elsewhere were included in the survey design of the Winnie 3D seismic acquisition. The survey featured broadband acquisition with point-source vibroseis and point-receiver accelerometers. Omnidirectional and symmetrical dense sampling with appropriately long offsets provided uniform azimuthal coverage with extremely high trace density. The high-specification acquisition design was complemented with latest non-uniform noise attenuation to enable a fast-track interpretation, detection of velocity anomalies, pre-stack seismic inversion, and the extraction of seismic attributes in advanced stages of data processing.

Seismic reservoir characterization of Bone Spring and Wolfcamp Formations in the Delaware Basin — A case study: Part 1

2020 ◽  
Vol 8 (4) ◽  
pp. T927-T940
Author(s):  
Satinder Chopra ◽  
Ritesh Kumar Sharma ◽  
James Keay
Keyword(s):  
Reservoir Characterization ◽  
Rock Physics ◽  
Seismic Inversion ◽  
Delaware Basin ◽  
Seismic Reservoir ◽  
Data Conditioning ◽  
Inversion Analysis ◽  
Sweet Spots

The Delaware and Midland Basins are multistacked plays with production being drawn from different zones. Of the various prospective zones in the Delaware Basin, the Bone Spring and Wolfcamp Formations are the most productive and thus are the most drilled zones. To understand the reservoirs of interest and identify the hydrocarbon sweet spots, a 3D seismic inversion project was undertaken in the northern part of the Delaware Basin in 2018. We have examined the reservoir characterization exercise for this dataset in two parts. In addition to a brief description of the geology, we evaluate the challenges faced in performing seismic inversion for characterizing multistacked plays. The key elements that lend confidence in seismic inversion and the quantitative predictions made therefrom are well-to-seismic ties, proper data conditioning, robust initial models, and adequate parameterization of inversion analysis. We examine the limitations of a conventional approach associated with these individual steps and determine how to overcome them. Later work will first elaborate on the uncertainties associated with input parameters required for executing rock-physics analysis and then evaluate the proposed robust statistical approach for defining the different lithofacies.

Seismic inversion in the Barnett Shale successfully pinpoints sweet spots to optimize well-bore placement and reduce drilling risks

2012 ◽  
Author(s):  
Roxana Varga ◽  
Roberto Lotti ◽  
Alex Pachos ◽  
Ted Holden ◽  
Iunio Marini ◽  
...  
Keyword(s):  
Seismic Inversion ◽  
Barnett Shale ◽  
Well Bore ◽  
Sweet Spots

High-Resolution Seismic Inversion Pinpoints Ultra-Thin Shale Interbeds and Sweet Spots

2017 ◽  
Author(s):  
Guo Tongcui ◽  
Xia Zhaohui ◽  
Wang Hongjun ◽  
Qu Liangchao ◽  
Zhao Wenguang ◽  
...  
Keyword(s):  
High Resolution ◽  
Seismic Inversion ◽  
Sweet Spots

Optimising CSG development: quantitative estimation of lithological and geomechanical reservoir quality parameters from seismic data

2012 ◽  
Vol 52 (2) ◽  
pp. 675
Author(s):  
Eric Bathellier ◽  
Jon Downton ◽  
Gabino Castillo
Keyword(s):  
Seismic Data ◽  
Seismic Inversion ◽  
Quality Parameters ◽  
Azimuthal Anisotropy ◽  
Reservoir Quality ◽  
Valuable Insight ◽  
Fracture Density ◽  
Successful Recovery ◽  
Sweet Spots

Within the past decade, new developments in seismic azimuthal anisotropy have identified a link between fracture density and orientation observed in well logs and the intensity and orientation of the actual anisotropy. Recent studies have shown a correlation between these measurements that provide quantitative estimations of fracture density from 3D wide-azimuth seismic data in tight-gas sand reservoirs. Recent research shows the significance of advanced seismic processing in the successful recovery of reliable fracture estimations, which directly correlates to borehole observations. These quantitative estimations of fracture density provide valuable insight that helps optimise drilling and completion programs, particularly in tight reservoirs. Extending this analysis to CSG reservoirs needs to consider additional reservoir quality parameters while implementing a similar quantitative approach on the interpretation of seismic data and correlation with borehole logging observations. The characterisation of CSG plays involves the understanding of the reservoir matrix properties as well as the in-situ stresses and fracturing that will determine optimal production zones. Pre-stack seismic data can assist with identifying the sweet spots—productive areas—in CSG resource plays by detailed reservoir-oriented gather conditioning followed by pre-stack seismic inversion and multi-attribute analysis. This analysis provides rock property estimations such as Poisson's ratio and Young's modulus, among others, which in turn relate to quantitative reservoir properties such as porosity and brittleness. This study shows an integrated workflow based on pre-stack azimuthal seismic data analysis and well log information to identify sweet spots, estimate geo-mechanical properties, and quantify in-situ principal stresses.

Determination of the optimal filtering parameters to find close associations of seismic inversion attributes

2020 ◽  
Vol 4 ◽  
pp. 27-29
Author(s):  
A.V. Novoyavchev ◽  
◽  
A.A. Kleimenov ◽  
M.Yu. Tokarev ◽  
K.M. Myatchin ◽  
...  
Keyword(s):  
Seismic Inversion ◽  
Optimal Filtering

Petrophysical Seismic Inversion Over an Offshore Carbonate Field

2013 ◽  
Author(s):  
Vimol Souvannavong ◽  
Fabien Allo ◽  
Thierry Coleou ◽  
Olivier Colnard ◽  
Ingrind Machecler ◽  
...  
Keyword(s):  
Seismic Inversion
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