scholarly journals Diffraction imaging for basement fault-fracture prediction: Application to an oil field in Cuu Long basin

2020 ◽  
Vol 10 ◽  
pp. 4-11
Author(s):  
Ta Quang Minh ◽  
Nguyen Danh Lam ◽  
Duong Hung Cuong ◽  
Pham Van Tuyen ◽  
Mai Thi Lua ◽  
...  
Keyword(s):  
Seismic Data ◽  
Signal To Noise Ratio ◽  
Oil Field ◽  
Fault System ◽  
Imaging Method ◽  
Basement Fault ◽  
Geological Information ◽  
Diffraction Imaging ◽  
Granite Basement ◽  
Petroleum Basin

Improvement to the image of fractured granite basements is among the most sought-after goals for processing seismic data in Cuu Long basin, the most proliferous petroleum basin. Unlike a clear layering structure of the sediment, fuzzy images of the granite basement are often the source of confusion for interpreters to identify which structures are presented inside it. In such a low signal-to-noise ratio (SNR) environment, extracting geological information such as fault systems and fracture becomes challenging. In this study, diffraction imaging is employed in an effort to identify and enhance the fault system inside the basement. The comparison of the study result with various standard post-stack attribute approaches shows the effectiveness of the diffraction imaging method.

scholarly journals Diffraction imaging for basement fault-fracture prediction: Application to an oil field in Cuu Long basin

2020 ◽  
Vol 10 ◽  
pp. 4-11
Author(s):  
Ta Quang Minh ◽  
Nguyen Danh Lam ◽  
Duong Hung Cuong ◽  
Pham Van Tuyen ◽  
Mai Thi Lua ◽  
...  
Keyword(s):  
Seismic Data ◽  
Oil Field ◽  
Fault System ◽  
Imaging Method ◽  
Signal To Noise ◽  
Basement Fault ◽  
Geological Information ◽  
Diffraction Imaging ◽  
Granite Basement ◽  
Petroleum Basin

Improvement to the image of fractured granite basements is among the most sought-after goals for processing seismic data in Cuu Long basin, the most proliferous petroleum basin. Unlike a clear layering structure of the sediment, fuzzy images of the granite basement are often the source of confusion for interpreters to identify which structures are presented inside it. In such a low signal to noise ration (SNR) environment, extracting geological information such as fault systems and fracture becomes challenging. In this study, diffraction imaging is employed in an effort to identify and enhance the fault system inside the basement. The comparison of the study result with various standard post-stack attribute approaches shows the effectiveness of the diffraction imaging method.

Diffractivity — Another attribute for the interpretation of seismic data in hard rock environment, a case study

2016 ◽  
Vol 4 (4) ◽  
pp. B23-B32 ◽  
Author(s):  
Mohammad Javad Khoshnavaz ◽  
Andrej Bóna ◽  
Muhammad Shahadat Hossain ◽  
Milovan Urosevic ◽  
Kit Chambers
Keyword(s):  
Seismic Data ◽  
Hard Rock ◽  
Shear Zones ◽  
Primary Objective ◽  
Seismic Exploration ◽  
Image Point ◽  
Small Scale ◽  
Imaging Method ◽  
Data Set ◽  
Diffraction Imaging

The primary objective of seismic exploration in a hard rock environment is the detection of heterogeneities such as fracture zones, small-scale geobodies, intrusions, and steeply dipping structures that are often associated with mineral deposits. Prospecting in such environments using seismic-reflection methods is more challenging than in sedimentary settings due to lack of continuous reflector beds and predominance of steeply dipping hard rock formations. The heterogeneities and “fractal” aspect of hard rock geologic environment produce considerable scattering of the seismic energy in the form of diffracted waves. These scatterers can be traced back to irregular and often “sharp-shaped” mineral bodies, magmatic intrusions, faults, and complex and heterogeneous shear zones. Due to the natural lack of reflectors and abundant number of diffractors, there are only a few case studies of diffraction imaging in hard rock environments. There are almost no theoretical models or field examples of diffraction imaging in prestack domain. We have filled this gap by applying a 3D prestack diffraction imaging method to image point diffractors. We calculated the diffractivity by computing the semblance of seismic data along diffraction traveltime curves in the prestack domain. The performance of the method is evaluated on a synthetic case and a field seismic data set collected over the Kevitsa mineral deposit in northern Finland. The high-resolution results obtained by the application of prestack diffraction imaging suggest that diffractivity is a robust attribute that can be used in addition to other seismic attributes for the interpretation of seismic data in hard rock environment.

Accurate diffraction imaging for detecting small-scale geologic discontinuities

Geophysics ◽  
2018 ◽  
Vol 83 (5) ◽  
pp. S447-S457 ◽  
Author(s):  
Peng Lin ◽  
Suping Peng ◽  
Jingtao Zhao ◽  
Xiaoqin Cui ◽  
Wenfeng Du
Keyword(s):  
Signal To Noise Ratio ◽  
Migration Velocity ◽  
Minimum Variance ◽  
Seismic Interpretation ◽  
Small Scale ◽  
Imaging Method ◽  
Velocity Analysis ◽  
Diffraction Imaging ◽  
Correlation Properties ◽  
Beamforming Technique

Seismic diffractions contain valuable information regarding small-scale inhomogeneities or discontinuities, and therefore they can be used for seismic interpretation in the exploitation of hydrocarbon reservoirs. Velocity analysis is a necessary step for accurate imaging of these diffractions. A new method for diffraction velocity analysis and imaging is proposed that uses an improved adaptive minimum variance beamforming technique. This method incorporates the minimum variance, coherence factor, and correlation properties to improve the signal-to-noise ratio and enhance correlations. Our method can make seismic diffractions become better focused in semblance panels, allowing for the optimal migration velocity for diffractions to be accurately picked. Synthetic and field examples demonstrate that the migration velocity for the diffractions can differ from that for the reflections. The results suggest that the diffraction velocity analysis and imaging method is feasible for accurately locating and identifying small-scale discontinuities, which leads to the possibility of using this approach for practical application and seismic interpretation.

scholarly journals Pre and Post-Stack Imaging of 2D Seismic Data Using Time Migration for Ajeel Oil field, Central of Iraq

2019 ◽  
pp. 2186-2195
Author(s):  
Fadhil Abdulabass Obaid ◽  
Ali M. Al-Rahim
Keyword(s):  
Frequency Analysis ◽  
Seismic Data ◽  
Signal To Noise Ratio ◽  
Oil Field ◽  
Seismic Survey ◽  
Signal To Noise ◽  
Final Time ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Time Migration

Kirchhoff Time migration was applied in Pre and Post-Stack for 2D seismic survey for line AJ-99N, that is located in Ajeel oilfield in Salah Al-Din Governorate, Central Iraq. The process follows several accurate steps to reach the final time migration stage. The results of applied time migration give an accurate image for the Ajeel anticline reservoir and to improve the signal to noise ratio. Pre-Stack shows a clearer image for the structure in the study area, and the time-frequency analysis insure the result.

Full-field X-ray diffraction microscopy using polymeric compound refractive lenses

2014 ◽  
Vol 47 (6) ◽  
pp. 1882-1888 ◽  
Author(s):  
J. Hilhorst ◽  
F. Marschall ◽  
T. N. Tran Thi ◽  
A. Last ◽  
T. U. Schülli
Keyword(s):  
Imaging Techniques ◽  
Light And Electron Microscopy ◽  
Added Value ◽  
Acquisition Time ◽  
Imaging Method ◽  
X Ray Diffraction ◽  
Polymeric Compound ◽  
Full Field ◽  
X Ray ◽  
Diffraction Imaging

Diffraction imaging is the science of imaging samples under diffraction conditions. Diffraction imaging techniques are well established in visible light and electron microscopy, and have also been widely employed in X-ray science in the form of X-ray topography. Over the past two decades, interest in X-ray diffraction imaging has taken flight and resulted in a wide variety of methods. This article discusses a new full-field imaging method, which uses polymer compound refractive lenses as a microscope objective to capture a diffracted X-ray beam coming from a large illuminated area on a sample. This produces an image of the diffracting parts of the sample on a camera. It is shown that this technique has added value in the field, owing to its high imaging speed, while being competitive in resolution and level of detail of obtained information. Using a model sample, it is shown that lattice tilts and strain in single crystals can be resolved simultaneously down to 10−3° and Δa/a= 10−5, respectively, with submicrometre resolution over an area of 100 × 100 µm and a total image acquisition time of less than 60 s.

Recent production and drilling success of the Stag oil field from multidisciplinary evaluation of OBC seismic data

2012 ◽  
Vol 31 (4) ◽  
pp. 387-391 ◽  
Author(s):  
Paul F. Anderson ◽  
Paul Bingaman ◽  
Kyle Graves ◽  
Fred Fernandes ◽  
Fiona O'Sullivan ◽  
...  
Keyword(s):  
Seismic Data ◽  
Oil Field

Tomographic resolution limits for diffraction imaging

2015 ◽  
Vol 3 (1) ◽  
pp. SF15-SF20 ◽  
Author(s):  
Yunsong Huang ◽  
Dongliang Zhang ◽  
Gerard T. Schuster
Keyword(s):  
Numerical Simulations ◽  
Diffraction Data ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Specular Reflections ◽  
Data Resolution ◽  
Resolution Limits ◽  
Diffraction Imaging ◽  
Noise Ratio

We derived formulas for the tomographic resolution limits [Formula: see text] of diffraction data. Resolution limits exhibited that diffractions can provide twice or more the tomographic resolution of specular reflections and therefore led to more accurate reconstructions of velocities between layers. Numerical simulations supported this claim in which the tomogram inverted from diffraction data was noticeably more resolved compared to that inverted from specular data. The specular synthetics were generated by sources on the surface, and the diffraction data were generated by buried diffractors. However, this advantage is nullified if the intensity and signal-to-noise ratio of the diffractions are much less than those of the pervasive specular reflections.

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