Study on co-seismic energy losses from hypocenter to ocean bottom for Sumatra earthquake 2004 using 3-D crustal deformation model

2020 ◽  
Vol 79 (20) ◽  
Author(s):  
Mahendra Kumar Sonker ◽  
Rajni Devi ◽  
Mandeep Singh ◽  
Ramesh Chand
Keyword(s):  
Crustal Deformation ◽  
Seismic Energy ◽  
Energy Losses ◽  
Deformation Model ◽  
Ocean Bottom ◽  
Sumatra Earthquake

scholarly journals Seafloor Crustal Deformation on Ocean Bottom Pressure Records With Nontidal Variability Corrections: Application to Hikurangi Margin, New Zealand

2019 ◽  
Vol 46 (1) ◽  
pp. 303-310 ◽  
Author(s):  
Tomoya Muramoto ◽  
Yoshihiro Ito ◽  
Daisuke Inazu ◽  
Laura M. Wallace ◽  
Ryota Hino ◽  
...  
Keyword(s):  
New Zealand ◽  
Crustal Deformation ◽  
Ocean Bottom ◽  
Bottom Pressure ◽  
Ocean Bottom Pressure

scholarly journals Preliminary crustal deformation model deduced from GPS and earthquakes’ data at Abu-Dabbab area, Eastern Desert, Egypt

2013 ◽  
Vol 2 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Abdel-Monem S. Mohamed ◽  
A. Hosny ◽  
N. Abou-Aly ◽  
M. Saleh ◽  
A. Rayan
Keyword(s):  
Crustal Deformation ◽  
Eastern Desert ◽  
Deformation Model

The value of high-density blended OBN seismic for drilling and reservoir description at the Tangguh gas fields, Eastern Indonesia

2020 ◽  
Vol 39 (8) ◽  
pp. 574-582
Author(s):  
Christopher Birt ◽  
Danang Priyambodo ◽  
Simon Wolfarth ◽  
Johnathan Stone ◽  
Ted Manning
Keyword(s):  
Reservoir Characterization ◽  
Survey Design ◽  
Seismic Energy ◽  
Ocean Bottom ◽  
High Quality ◽  
Eastern Indonesia ◽  
Seismic Image ◽  
Simple Processing ◽  
Reservoir Description ◽  
Gas Fields

The Tangguh gas fields in Eastern Indonesia are overlain by a complex overburden, including a thick, heavily faulted, and intensely karstified carbonate interval that tends to scatter and attenuate seismic energy. Development drilling is challenging, with the potential for pack-offs and stuck pipe when drilling into unstable, partially collapsed caves or karstified fault planes while on total losses. Ideally, these karst features are to be avoided when planning and drilling wells, but avoiding them depends on having a well-resolved seismic image. Historical towed-streamer and sparse ocean-bottom cable seismic is low fold and does not give a satisfactory image for well planning. Advances in ocean-bottom node technology, computer processing, and capacity coupled with efficient survey design and blended acquisition utilizing multiple source vessels allowed a step change in data density. This provided a new high-quality seismic image to support future development activities. The advantages of densely sampled, full-azimuth data include rapid delivery of fast-track products (because high-quality images can be constructed with relatively simple processing flows), greatly improved overburden imaging, and a corresponding uplift in deeper imaging leading to enhanced reservoir characterization.

Slowness-driven Gaussian-beam prestack depth migration for low-fold seismic data

Geophysics ◽  
2009 ◽  
Vol 74 (6) ◽  
pp. WCA35-WCA45 ◽  
Author(s):  
Chaoshun Hu ◽  
Paul L. Stoffa
Keyword(s):  
Gaussian Beam ◽  
Seismic Data ◽  
Fresnel Zone ◽  
Seismic Energy ◽  
Real Data ◽  
Ocean Bottom ◽  
Prestack Depth Migration ◽  
Seismic Reflection Data ◽  
Depth Migration ◽  
Reflection Data

Subsurface images based on low-fold seismic reflection data or data with geometry acquisition limitations, such as obtained from ocean-bottom seismography (OBS), are often corrupted by migration swing artifacts. Incorporating prestack instantaneous slowness information into the imaging condition can significantly reduce these migration swing artifacts and improve image quality, especially for areas with poor illumination. We combine the horizontal surface slowness information of observed seismic data with Gaussian-beam depth migration to implement a new slowness-driven Gaussian-beam prestack depth migration whereby Fresnel weighting is combined naturally with beam summation. The prestack instantaneous slowness information is extracted from the original OBS or shot gathers using local slant stacks and is combined with a local semblance analysis. During migration, we propagate the seismic energy downward, knowing its instantaneous slowness information. At each image location, the beam summation is localized in a resolution-dependent Fresnel zone; the instantaneous slowness information controls the beam summation. Synthetic and real data examples confirm that slowness-driven Gaussian-beam migration can suppress most noise from inadequate stacking and give a clearer migration result.

Fault Model of the 1804 Kisakata Earthquake (Akita, Japan)

2020 ◽  
Vol 91 (5) ◽  
pp. 2674-2684 ◽  
Author(s):  
Kentaro Imai ◽  
Shinsuke Okada ◽  
Narumi Takahashi ◽  
Yuichi Ebina ◽  
Yoshinobu Tsuji
Keyword(s):  
Crustal Deformation ◽  
Field Survey ◽  
Ground Motions ◽  
Fault Model ◽  
Historical Documents ◽  
Ocean Bottom ◽  
Tsunami Height ◽  
Strong Ground Motions ◽  
Strong Ground ◽  
Extensive Damage

Abstract The 10 July 1804 Kisakata earthquake occurred offshore Kisakata (Akita, Japan), and widespread felt shaking was reported from Matsumae (Hokkaido) to Ohmi-Hachiman (Shiga Prefecture). The earthquake caused strong ground motions that extensively damaged areas near the epicenter, such as along the coast of Kisakata, and the resultant tsunami caused extensive damage along the coast from Kisakata to Sakata. Furthermore, Kisakata lagoon was uplifted by dislocation during the earthquake, exposing the lagoon floor. Here, we performed a field survey of the uplift distribution based on microtopographic remnants of the former shoreline of Kisakata lagoon and used historical documents to re-evaluate tsunami trace heights. Using ocean-bottom reflection profiles, we estimated a fault model for the earthquake and resultant tsunami. Our model indicates that an average of 5.6 m of slip on the fault (equivalent to an Mw 7.1 earthquake) is required to explain the observed crustal deformation and tsunami height distributions, and back correction of the modeled slip reproduced well the former shoreline of Kisakata lagoon.

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