scholarly journals Toward Creating a Subsurface Camera

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 301 ◽  
Author(s):  
Wenzhan Song ◽  
Fangyu Li ◽  
Maria Valero ◽  
Liang Zhao

In this article, the framework and architecture of a Subsurface Camera (SAMERA) are envisioned and described for the first time. A SAMERA is a geophysical sensor network that senses and processes geophysical sensor signals and computes a 3D subsurface image in situ in real time. The basic mechanism is geophysical waves propagating/reflected/refracted through subsurface enter a network of geophysical sensors, where a 2D or 3D image is computed and recorded; control software may be connected to this network to allow view of the 2D/3D image and adjustment of settings such as resolution, filter, regularization, and other algorithm parameters. System prototypes based on seismic imaging have been designed. SAMERA technology is envisioned as a game changer to transform many subsurface survey and monitoring applications, including oil/gas exploration and production, subsurface infrastructures and homeland security, wastewater and CO2 sequestration, and earthquake and volcano hazard monitoring. System prototypes for seismic imaging have been built. Creating SAMERA requires interdisciplinary collaboration and the transformation of sensor networks, signal processing, distributed computing, and geophysical imaging.

2021 ◽  
Author(s):  
R. Utomo

Significant uplift in the seismic imaging quality from the latest wide coverage of the Multi-Client Broadband PSDM 3D (MC3D) acquisition and processing, as well as cost and operational efficiencies, is an essential element to unlock the exploration potential of the under-explored South Makassar Basin. Many of exploration wells are usually drilled based on limited data, and structural closures are defined by sparse 2D seismic data and inadequate petroleum system models. Additional 3D seismic acquisition over the same area may enhance the structural imaging and provide a better understanding of the petroleum system. However, imaging the stratigraphic and structural complexities beneath carbonate platforms and steep slopes can be challenging and continued de-risk the plays. In 2018, Mubadala Petroleum requested PGS to acquire the first Multi-Client Broadband PSDM 3D survey in the South Makassar Basin. This MC3D survey has, for the first time, enabled imaging of well developed Eocene Platform carbonates and the Basement. Historical exploration and production activities with in the Basin have focused largely on the Oligocene aged carbonate debris flow deposits, as seen at Ruby Field. These new Eocene Platform carbonate and Basement plays have enabled Mubadala Petroleum to develop a significant exploration portfolio, revitalizing exploration activity in the Basin.


Author(s):  
C.H Tong

The origin of sunspots is one of the most fundamental and yet poorly understood areas in solar physics. Imaging local anomalous features in the solar interior offers a direct way to unravel the underlying physical processes of sunspots and the mechanisms behind their formation. The advent of local helioseismology in the last few years has, for the first time, made it possible to image local internal solar structures. High-resolution satellite and ground telescope data which reveal the details of the vibrations of the visible solar surface are essential in the development of local helioseismology. We are now in a position to transfer the seismic methods that have traditionally been used to study the Earth's interior to solar investigations. This interdisciplinary approach to developing seismic imaging techniques is opening up new ways of understanding the flow and other structural characteristics beneath sunspots. In this article, I review recent progress in the imaging of sunspots and the surrounding solar active regions. By highlighting the strengths of seismic methods and the challenges facing local helioseismology, I discuss some of the new research directions and possibilities that have arisen from this novel type of seismic imaging.


2019 ◽  
Vol 37 (1) ◽  
pp. 55
Author(s):  
Alexandre Rodrigo Maul ◽  
Marco Antonio Cetale Santos ◽  
Cleverson Guizan Silva ◽  
Josué Sá da Fonseca ◽  
María de Los Ángeles González Farias ◽  
...  

ABSTRACT. The pre-salt reservoirs in Santos Basin are known for being overlaid by thick evaporitic layers, which degrade the quality of seismic imaging and, hence, impacts reservoir studies. Better seismic characterization of this section can then improve decision making in E&P (Exploration and Production) projects. Seismic inversion - particularly with adequate low-frequency initial models – is currently the best approach to build good velocity models, leading to increased seismic resolution, more reliable amplitude response, and to attributes that can be quantitatively connected to well data. We discuss here a few considerations about inverting seismic data for the evaporitic section, and address procedures to improve reservoir characterization when using this methodology. The results show that we can obtain more realistic seismic images, better predicting both the reservoir positioning and its amplitude. Keywords: evaporitic section, seismic imaging, seismic inversion, reservoir characterization, seismic resolution.RESUMO. Os reservatórios do pré-sal da Bacia de Santos são conhecidos por estarem abaixo de uma espessa camada de evaporitos, que degradam a qualidade das imagens sísmicas e impactam os estudos de reservatórios. Melhores caracterizações desta seção podem, então, melhorar o processo de tomada de decisão em projetos de E&P (Exploração e Produção). Inversão sísmica – particularmente com modelos de baixa frequência inicial adequados – é correntemente a melhor abordagem para se construir modelos de velocidades, auxiliando no aumento de resolução sísmica, obtendo-se respostas de amplitude mais coerentes, e tendo seus atributos quantitativamente conectados com as informações de dados de poços. Aqui discutiremos algumas considerações sobre inversões sísmicas para seção evaporítica, e indicaremos procedimentos para melhorar a caracterização de reservatórios quando utilizando esta metodologia. Os resultados mostram que podemos obter imagens sísmicas mais realistas, com melhores predições tanto em termos de posicionamento quanto de sua amplitude.Palavras-chave: seção evaporítica, imagem sísmica, inversão sísmica, caracterização de reservatórios, resolução sísmica.


1999 ◽  
Vol 122 (1) ◽  
pp. 89-94 ◽  
Author(s):  
Satish T. S. Bukkapatnam ◽  
Soundar R. T. Kumara ◽  
Akhlesh Lakhtakia

A novel fractal estimation methodology, that uses—for the first time in metal cutting literature—fractal properties of machining dynamics for online estimation of cutting tool flank wear, is presented. The fractal dimensions of the attractor of machining dynamics are extracted from a collection of sensor signals using a suite of signal processing methods comprising wavelet representation and signal separation, and are related to the instantaneous flank wear using a recurrent neural network. The performance of the resulting estimator, evaluated using actual experimental data, establishes our methodology to be viable for online flank wear estimation. This methodology is adequately generic for sensor-based prediction of gradual damage in mechanical systems, specifically manufacturing processes. [S0022-0434(00)02401-1]


1989 ◽  
Vol 54 (4) ◽  
pp. 634-646 ◽  
Author(s):  
Carole R. Roth ◽  
Arnold E. Aronson ◽  
Leo J. Davis

Twelve patients (6 men and 6 women), ages 21–79 years, who, as far as it could be determined from their case histories, began to stutter for the first time in adulthood were classified by examining physicians and speech-language pathologists as having psychogenic stuttering. The case histories of these patients were examined to determine the details of their speech and allied complaints, the course and duration of stuttering, and if any psychologically stressful events surrounded the onset and development of the disorder. Minnesota Multiphasic Personality Inventory (MMPI) data on 10 of the 12 patients were analyzed independently. The main findings were (a) stuttering was the chief complaint of 11 patients; (b) all 12 patients had additional neurologic-like complaints that turned out to be nonorganic; (c) duration of stuttering from onset to examination ranged from 4 hr to 1.5 years; (d) the stuttering of most patients was variable in severity and returned to normal either spontaneously or as a result of speech therapy or psychotherapy; (e) psychologic stress was associated with the onset in 10 patients: the stress was chronic in 4 patients and acute in 6; (t) MMPI profiles of 9 of 1O patients were abnormal, with four profiles reflective of a conversion reaction; (g) differentiating neurologic from psychogenic stuttering and the need for interdisciplinary collaboration were essential in all 12 cases; and (h) speech therapy and psychotherapy are justified when psychogenic stuttering is diagnosed.


2007 ◽  
Vol 25 (5) ◽  
pp. 339-356 ◽  
Author(s):  
Lucio Guido Tapia Carpio ◽  
Marcus Vinicius Margueron

This paper intends to present a contribution to the development of techniques of decision-making in international projects of exploration and production of petroleum. A case study of the Multi-Attribute Utility Theory (MAUT) was developed and applied to define priorities among ten offshore exploration investment opportunities around the world offered to a Brazilian petroleum multinational company, according to decision-makers' preferences. The MAUT model proposed shows for the first time a combination of operational, political and technological risks, resulting in a quite complete formulation to describe quantitatively the decision-making process. It is important to emphasize that this paper presents an unpublished model to evaluate political risks whose detailed analysis is currently of extreme importance for international investments in petroleum projects.


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