See the Unseen through Target-Oriented Dip-Steered Seismic Resolution

2021 ◽  
Author(s):  
Muhammad Sajid ◽  
Ahmad Riza Ghazali
Keyword(s):  
Reservoir Characterization ◽  
Resolution Enhancement ◽  
Dominant Frequency ◽  
Seismic Inversion ◽  
Seismic Resolution ◽  
Geological Features ◽  
Spectral Enhancement ◽  
Enhancement Method ◽  
Layer Velocity ◽  
Seismic Volumes

Abstract Seismic resolution plays an important role not only in interpretation and reservoir characterization but also in seismic inversion and seismic attributes analysis. The resolution depends on several factors, including seismic frequency bandwidth, dominant frequency, and layer velocity. This paper presents a spectral resolution enhancement approach that is based on Non-stationary Differential Resolution (NSDR) that honors the local structural dip, better preserves amplitude and improves target-oriented seismic interpretation. The proposed technology is applied to both 2D and 3D seismic volumes and findings are compared with the oil industry common spectral enhancement algorithms. We demonstrate the target-oriented dip steering spectral enhancement method on two 3D field datasets and compare the resulting outcome with those obtained by conventional techniques. It is found that thinly layered subsurface geological features with steeply dipping beds are better defined, with artifacts from the conflicting dips removed.

Similarity attributes from differential resolution components

2017 ◽  
Vol 5 (1) ◽  
pp. T65-T73 ◽  
Author(s):  
Bruno César Zanardo Honório ◽  
Ulisses Miguel da Costa Correia ◽  
Marcílio Castro de Matos ◽  
Alexandre Campane Vidal
Keyword(s):  
Color Space ◽  
Dominant Frequency ◽  
Seismic Attribute ◽  
Frequency Bands ◽  
Conventional Procedure ◽  
Seismic Resolution ◽  
Campos Basin ◽  
Spectral Enhancement ◽  
Analysis Window ◽  
Enhancement Method

Seismic resolution plays an important role in the delineation of structural and stratigraphic features. The resolution improvement directly affects the seismic attributes and, consequently, the interpretation of a given feature. However, the broadband data do not necessarily provide the best insight for seismic attribute evaluation. Particularly, geologic discontinuities, such as karsts, faults, and fractures, can have different seismic expressions according to their intrinsic scales, and, therefore, they are better illuminated in a given frequency range. To extract dissimilar characteristics in different frequency bands, we have combined a recently developed spectral enhancement method based on differential resolution (DR) and similarity attributes. The DR algorithm is simultaneously used for frequency enhancement and acting as a pseudofilter, allowing us to compute similarity attributes at different frequency bands. The similarity computation follows the reflector dip of each DR subband and adjusts its analysis window accordingly to the dominant frequency within the subbands. Then, the subband similarities are combined in the red-green-blue-alpha color space, allowing a more detailed view of the geology under investigation. Although more expensive in terms of processing time because of all the steps needed for each subband, the proposed strategy proved to be a great improvement over the conventional procedure of detecting and delineating discontinuities in fault and karst structures when treating seismic data from an offshore carbonate field in Campos Basin, Brazil.

Seismic resolution enhancement for tight-sand gas reservoir characterization

2008 ◽  
Vol 6 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Qigang Gan ◽  
Duo Xu ◽  
Jianming Tang ◽  
Yanghua Wang
Keyword(s):  
Reservoir Characterization ◽  
Resolution Enhancement ◽  
Gas Reservoir ◽  
Seismic Resolution ◽  
Tight Sand Gas

Discrete wavelet transform-based multiresolution analysis and spectral enhancement to characterize heavy oil reservoirs in the southern Gulf of Mexico region

2016 ◽  
Vol 4 (4) ◽  
pp. T497-T505 ◽  
Author(s):  
Erik Camacho-Ramírez ◽  
Ernesto Gonzalez-Flores ◽  
José Oscar Campos-Enriquez
Keyword(s):  
Wavelet Transform ◽  
Gulf Of Mexico ◽  
Discrete Wavelet Transform ◽  
Multiresolution Analysis ◽  
Heavy Oil ◽  
Resolution Enhancement ◽  
Discrete Wavelet ◽  
Seismic Resolution ◽  
Spectral Enhancement ◽  
Southern Gulf Of Mexico

In Neogene geologic settings, seismic resolution plays an important role in the static characterization of large stratigraphically complex reservoirs. Attenuation of high frequencies due to absorption and scattering of waves propagating through the subsurface contributes to the loss of seismic resolution, resulting, in particular, to a poor delineation of thin beds. This case history comprised the resolution enhancement of seismic data from one petroleum field located in the southern Gulf of Mexico. We applied discrete wavelet transform-based multiresolution analysis to identify frequency components in the data that required spectral enhancement. The resulting enhanced power spectrum contains a higher frequency content, which made it possible to identify new heavy oil (11°–23° API) reservoirs located in thin sandstones of deltaic sedimentary environments. The methodology used here helped us to cope with the attenuation problem.

Inversion-Based Time-Domain Inverse $Q$ -Filtering for Seismic Resolution Enhancement

2019 ◽  
Vol 16 (12) ◽  
pp. 1934-1938
Author(s):  
Yaju Hao ◽  
Handong Huang ◽  
Jun Gao ◽  
Sheng Zhang
Keyword(s):  
Time Domain ◽  
Resolution Enhancement ◽  
Seismic Resolution ◽  
Inverse Q Filtering

Application of geostatistical seismic inversion in reservoir characterization of Sapphire gas field, offshore Nile Delta, Egypt

2019 ◽  
Vol 38 (6) ◽  
pp. 474-479
Author(s):  
Mohamed G. El-Behiry ◽  
Said M. Dahroug ◽  
Mohamed Elattar
Keyword(s):  
Reservoir Characterization ◽  
Nile Delta ◽  
Seismic Inversion ◽  
Reservoir Modeling ◽  
Connectivity Analysis ◽  
Gas Field ◽  
Geostatistical Inversion ◽  
Well Data ◽  
Reservoir Connectivity ◽  
Inversion Techniques

Seismic reservoir characterization becomes challenging when reservoir thickness goes beyond the limits of seismic resolution. Geostatistical inversion techniques are being considered to overcome the resolution limitations of conventional inversion methods and to provide an intuitive understanding of subsurface uncertainty. Geostatistical inversion was applied on a highly compartmentalized area of Sapphire gas field, offshore Nile Delta, Egypt, with the aim of understanding the distribution of thin sands and their impact on reservoir connectivity. The integration of high-resolution well data with seismic partial-angle-stack volumes into geostatistical inversion has resulted in multiple elastic property realizations at the desired resolution. The multitude of inverted elastic properties are analyzed to improve reservoir characterization and reflect the inversion nonuniqueness. These property realizations are then classified into facies probability cubes and ranked based on pay sand volumes to quantify the volumetric uncertainty in static reservoir modeling. Stochastic connectivity analysis was also applied on facies models to assess the possible connected volumes. Sand connectivity analysis showed that the connected pay sand volume derived from the posterior mean of property realizations, which is analogous to deterministic inversion, is much smaller than the volumes generated by any high-frequency realization. This observation supports the role of thin interbed reservoirs in facilitating connectivity between the main sand units.

General Resolution Enhancement Method in Atomic Force Microscopy Using Deep Learning

2018 ◽  
Vol 2 (2) ◽  
pp. 1800137 ◽  
Author(s):  
Yue Liu ◽  
Qiaomei Sun ◽  
Wanheng Lu ◽  
Hongli Wang ◽  
Yao Sun ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Deep Learning ◽  
Resolution Enhancement ◽  
Force Microscopy ◽  
Atomic Force ◽  
Enhancement Method
Sign in / Sign up

Export Citation Format

Share Document