Channel boundary detection based on 2D shearlet transformation: An application to the seismic data in the South Caspian Sea

2017 ◽  
Vol 146 ◽  
pp. 67-79 ◽  
Author(s):  
Haleh Karbalaali ◽  
Abdolrahim Javaherian ◽  
Stephan Dahlke ◽  
Siyavash Torabi
2007 ◽  
Vol 27 (2-4) ◽  
pp. 203-212 ◽  
Author(s):  
Robert J. Evans ◽  
Simon A. Stewart ◽  
Richard J. Davies

Geophysics ◽  
2018 ◽  
Vol 83 (6) ◽  
pp. B317-B322 ◽  
Author(s):  
Haleh Karbalaali ◽  
Paul de Groot ◽  
Abdolrahim Javaherian ◽  
Farrukh Qayyum ◽  
Stephan Dahlke ◽  
...  

Identification of geomorphological features in seismic data is a key element of seismic interpretation. Channels in the shallow subsurface are potential geohazards. At deeper levels, they can be the actual targets for (horizontal) drilling. Either way, it is important to optimally delineate these features prior to well location positioning and drilling. We have studied a poststack 3D seismic data from the South Caspian Sea featuring shallow channels that are considered potential geohazards for drilling operations. In the first step, we attenuate the acquisition footprints along the inline direction using a geostatistics approach based on factorial kriging. To better visualize channels in the presence of stratigraphic dips, we create a dense set of horizons using an inversion-based flattening algorithm. In the next step, we compare various discontinuity attributes such as semblance, similarity, curvature, and the relatively new attribute based on the multiscale and multidirectional shearlet transformation to determine which one best images our features of interest. Curvature attributes clearly image channel levies (positive curvature) and channel centers (negative curvature). Lateral changes in the curvature magnitude infer sedimentation from the north. Similarity, semblance, and shearlet transform attributes also successfully delineate channel edges, but these attributes do not contain additional geologic information. In the final step, we qualitatively analyze channel thickness variations by the red-green-blue blending of three spectral components based on short window Fourier transforms.


2021 ◽  
Author(s):  
Chingis Oshakbayev ◽  
Roman Romanov ◽  
Valentin Vlassenko ◽  
Simon Austin ◽  
Sergey Kovalev ◽  
...  

Abstract Currently drilling of horizontal wells is a common enhanced oil recovery method. Geosteering services are often used for accurate well placement, which makes it possible to achieve a significant increase in production at relatively low cost. This paper describes the result of using seismic data in three-dimensional visualization for high-quality geosteering using a deep boundary detection tool and multilayer inversion in real time. Crossing the top of the reservoir while drilling horizontal sections at the current oilfield is unacceptable, due to the presence of reactive mudstones. In case of crossing the top of reservoir, further work on running and installing the liner becomes impossible due to instability and may lead to well collapse. Based on prewell analysis of the structural data, the well was not supposed to approach the top of the target formation along the planned profile. However, while preparing geosteering model and analyzing seismic data it became possible to reveal that risk, elaborate its mitigation and eventually increase the length of the horizontal section. Such integrated analysis made it possible to maintain the wellbore within the target reservoirs, as well as to update the structural bedding of the top based on the multilayer inversion results.


2018 ◽  
Vol 6 (4) ◽  
pp. SO17-SO29 ◽  
Author(s):  
Yaneng Luo ◽  
Handong Huang ◽  
Yadi Yang ◽  
Qixin Li ◽  
Sheng Zhang ◽  
...  

In recent years, many important discoveries have been made in the marine deepwater hydrocarbon exploration in the South China Sea, which indicates the huge exploration potential of this area. However, the seismic prediction of deepwater reservoirs is very challenging because of the complex sedimentation, the ghost problem, and the low exploration level with sparse wells in deepwater areas. Conventional impedance inversion methods interpolate the low frequencies from well-log data with the constraints of interpreted horizons to fill in the frequency gap between the seismic velocity and seismic data and thereby recover the absolute impedance values that may be inaccurate and cause biased inversion results if wells are sparse and geology is complex. The variable-depth streamer seismic data contain the missing low frequencies and provide a new opportunity to remove the need to estimate the low-frequency components from well-log data. Therefore, we first developed a broadband seismic-driven impedance inversion approach using the seismic velocity as initial low-frequency model based on the Bayesian framework. The synthetic data example demonstrates that our broadband impedance inversion approach is of high resolution and it can automatically balance between the inversion resolution and stability. Then, we perform seismic sedimentology stratal slices on the broadband seismic data to analyze the depositional evolution history of the deepwater reservoirs. Finally, we combine the broadband amplitude stratal slices with the impedance inversion results to comprehensively predict the distribution of deepwater reservoirs. Real data application results in the South China Sea verify the feasibility and effectiveness of our method, which can provide a guidance for the future deepwater hydrocarbon exploration in this area.


Author(s):  
Tatia Kuljanishvili ◽  
Levan Mumladze ◽  
Bella Japoshvili ◽  
Namig Mustafayev ◽  
Shaig Ibrahimov ◽  
...  

The South Caucasus (SC) region is recognized for its high biological diversity and various endemic animal taxa. The area has experienced many fish introductions over the years, but the overall information about non-native fishes in the three SC countries, Armenia, Azerbaijan, and Georgia did not exist. Although these three countries belong to the Kura River drainage, Caspian Sea basin (only the western half of Georgia drains into the Black Sea), the legislative framework for each country regarding introduction of non-native fish species and their treatment is different and poorly developed. The goal of the present study was to make an initial inventory of non-native fish species in the three SC countries, and summarize the existing knowledge as a basis for future risk assessment models and formulation of regional management policies. Here, we present a unified list of 27 non-native species recorded in the wild in Armenia, Azerbaijan, and Georgia. Among these 27 species, eight were translocated from the Black Sea basin to the Caspian Sea basin. Out of these 27 non-native fishes, 15 species have become established (three of them being considered invasive) and six fish species could not survive in the wild.


2018 ◽  
Vol 49 (5) ◽  
pp. 704-712 ◽  
Author(s):  
Haleh Karbalaali ◽  
Abdolrahim Javaherian ◽  
Stephan Dahlke ◽  
Siyavash Torabi

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