scholarly journals Identification of disjunctive dislocations as one of the parameters for estimating a territory seismicity of North Sakhalin

2021 ◽  
Vol 946 (1) ◽  
pp. 012003
Author(s):  
O V Kuptsova ◽  
V A Melkiy ◽  
A A Verkhoturov
Keyword(s):  
Image Processing ◽  
Satellite Image ◽  
Image Data ◽  
Environmental Parameters ◽  
Sakhalin Island ◽  
The North ◽  
Primary Image ◽  
Degree Of Certainty ◽  
Lineament Analysis ◽  
High Degree

Abstract The north of Sakhalin Island is characterized by frequent earthquakes and many disjunctive dislocations. One of the catastrophic earthquakes occurred in the settlement of Neftegorsk. The level of modern technologies makes it possible to track the change in environmental parameters accompanying dangerous natural processes with a high degree of certainty. The article proposes an interpretating technology for disjunctive dislocations detecting, which differs from the existing ones with the complex use and summation of satellite image data using image processing methods widely applied in “computer vision”. The study aims to compile and describe a map of discontinuous faults of the village of Neftegorsk, located in the northern part of Sakhalin Island, using the developed decoding technology and geophysical data. Methods: Identification methods used in the work: 1) methods of primary image processing (correction, transformation, resolution change, cropping, visualization); 2) a set of “contextual” and “autonomous” methods of lineament analysis, with the help of which a series of images is processed (canny, erosion, Hough’s algorithm); 3) methods for constructing maps of discontinuous faults (summation, sequential linking). Results. Using the developed technology, a map of discontinuous faults in the area of the Neftegorsk earthquake was constructed. The implementation of the technology makes it possible to provide the monitoring data on discontinuous faults to organizations that are engaged in seismic zoning, construction and operation of objects for various purposes, including mineral deposits.

A Statistical Predictive Model to Prioritize Site Selection for Stress Corrosion Cracking Direct Assessment

2006 ◽  
Author(s):  
Anthony Merle ◽  
P. F. Ehlers
Keyword(s):  
Stress Corrosion ◽  
Stress Corrosion Cracking ◽  
Environmental Parameters ◽  
Predictive Modelling ◽  
Corrosion Cracking ◽  
Direct Assessment ◽  
Degree Of Certainty ◽  
Regression Techniques ◽  
Selection For ◽  
High Degree

Pipeline stress-corrosion cracking (SCC) is an ongoing integrity concern for pipeline operators. A number of different strategies are currently employed to locate and mitigate SCC. Ultrasonic in-line inspection tools have proven capable of locating SCC, but reliability of these tools in gas pipelines remains in question. Rotating hydrotest programs are effectively employed by some companies but may not provide useful information as to the location of SCC along the pipeline. NACE Standard RP0204-2004 (SCC Direct Assessment Methodology) outlines factors to consider and methodologies to employ to predict where SCC is likely to occur, but even this document acknowledges that there are no well-established methods for predicting the presence of SCC with a high degree of certainty. Predictive modelling attempts to date have focused on establishing quantitative relationships between environmental factors and SCC formation and growth; these models have achieved varying degrees of success. A statistical approach to SCC predictive modelling has been developed. In contrast to previous models that attempted to determine direct correlations between environmental parameters and SCC, the new model statistically analyzed data from dig sites where SCC was and was not found. Regression techniques were used to create a multi-variable logistic regression model. The model was applied to the entire pipeline and verification digs were performed. The dig results indicated that the model was able to predict locations of SCC along the pipeline.

scholarly journals Design of image processing technique in digital enhancement application

2015 ◽  
Vol 1 (8) ◽  
pp. 340
Author(s):  
Bhubneshwar Sharma ◽  
Jyoti Dadwal
Keyword(s):  
Image Processing ◽  
Land Cover ◽  
Information Extraction ◽  
Digital Image ◽  
Visual Analysis ◽  
Satellite Image ◽  
Image Data ◽  
Image Processing Technique ◽  
Geometric Distortion ◽  
Satellite Image Processing

This paper describes the basic technological aspects of Digital Image Processing with special reference to satellite image processing. Basically, all satellite image-processing operations can be grouped into three categories: Image Rectification and Restoration, Enhancement and Information Extraction. The former deals with initial processing of raw image data to correct for geometric distortion, to calibrate the data radio metrically and to eliminate noise present in the data. The enhancement procedures are applied to image data in order to effectively display the data for subsequent visual interpretation. It involves techniques for increasing the visual distinction between features in a scene. The objective of the information extraction operations is to replace visual analysis of the image data with quantitative techniques for automating the identification of features in a scene. This involves the analysis of multispectral image data and the application of statistically based decision rules for determining the land cover identity of each pixel in an image. The intent of classification process is to categorize all pixels in a digital image into one of several land cover classes or themes. This classified data may be used to produce thematic maps of the land cover present in an image.

scholarly journals Analisis Parameter Gempabumi Dengan Struktur Geologi Di Daerah Asparaga, Gorontalo

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Ratna Sari Madusila ◽  
Intan Noviantari Manyoe ◽  
Cindi Claudia Male
Keyword(s):  
Satellite Image ◽  
Image Data ◽  
Geological Structure ◽  
Geological Structures ◽  
Point Distribution ◽  
The North ◽  
Prone Area ◽  
Complex Geological Structure ◽  
Satellite Image Data ◽  
Earthquake Data

Gorontalo is an area located in the North Arm of Sulawesi which has a complex geological structure as a result of the submergence of the Sulawesi Sea and East Sangihe so that this area is considered an earthquake-prone area. The existence of the regional structure and the mapping of the earthquake point distribution is interesting to be studied more deeply because it affects seismic activity in the area. The purpose of this study is to analyze earthquakes in the Asparaga area based on their depth and magnitude and to relate them to the geological structures found in the study area. The earthquake data used were obtained from USGS. Satellite image data used is the SRTM satellite image. Earthquake data is mapped to produce depth maps, magnitude maps, and earthquake zoning maps. Lineament data were processed using a rosette diagram. Lineament can reflect the morphology observed on the earth's surface as a result of the activity of geological forces. The results showed that the Asparaga area had shallow earthquake depths and moderate to large magnitudes. The focus of the earthquake was right on the path traversed by the geological structure and its relatively northwest-southeast direction. The geological structure in the research location is the epicenter of the earthquake because it is crossed by regional geological structures.

ENGINEERS AND BANKS: THEIR ROLES IN ENERGY FINANCING

1981 ◽  
Vol 21 (1) ◽  
pp. 131
Author(s):  
W. G. Wright ◽  
N. A. Cleland ◽  
A. N. Edgington
Keyword(s):  
Balance Sheet ◽  
Cash Flows ◽  
The North ◽  
Debt Capital ◽  
Future Production ◽  
Energy Projects ◽  
Degree Of Certainty ◽  
The North Sea ◽  
High Degree ◽  
Oil Gas

Since 1928, banks in North America have been providing funds for oil, gas and other energy projects, secured by income from future production. Over the years, the types of lending and the limits set have changed as legislation has changed and technical knowledge has expanded.Banks can only lend money if there is a high degree of certainty that both the principles and interest can be repaid over the loan period. Engineers are required to prepare objective opinions of future cash flows, which are then used by the banks' engineers to establish loan limits. As technical capability has expanded, the banks have increased the risks they would accept when lending against future energy production. No longer must proven reserves be producing—but they must still be proven.With the emergence of major capital-intensive projects requiring massive front-end investments before developing any cash flows, innovative new financing methods were required to provide debt capital. These methods evolved in financing projects in Alaska and the North Sea and are now available for energy financing around the world.As lenders have accepted higher levels of risk for these major projects, they have come to depend more and more on the engineering assessment of the project, as opposed to the balance sheet strength of the borrower.

scholarly journals Maping of faults on territory of the North Sakhalin plain by remote sensing data

2021 ◽  
Vol 27 (1) ◽  
pp. 317-329
Author(s):  
Olesya Kuptsova ◽  
Alexey Verkhoturov ◽  
Vyacheslav Melkiy
Keyword(s):  
Remote Sensing Data ◽  
Digital Processing ◽  
Sakhalin Island ◽  
Earth’S Crust ◽  
Industrial Facilities ◽  
The North ◽  
Mathematical Algorithms ◽  
Earth's Crust ◽  
Lineament Analysis ◽  
Srtm Data

The article presents the results of the research of the fault zones of earth’s crust within the North Sakhalin plain using the lineament analysis of the SRTM model. The faults be identified in order to increase the information content of the maps of geological content. SRTM data was used as input. The analysis performed using the functionality of the LEFA software package. The use of SRTM data made it possible to assess disjunctive disorders in territory of the north of Sakhalin Island. The images of surface were analyzed using the binary-morphological erosion operation or using Canny mathematical algorithms with further digital processing by means of Hough Transform. The paper reveals the position of linear elements in different parts of the North Sakhalin plain. Excellent test of the quality of performed definitions was the results of earlier studies of the eastern part of the North Sakhalin Plain, which were carried out in connection with the development of hydrocarbon deposits and after the strong Neftegorsk earthquake. The data obtained served as the basis for drawing up a map of disjunctive disturbances of Sakhalin Island at scale of 1:500,000. Depending from scale, spatial resolution, and level of generalization of image, disjunctive disturbances of different lengths (transregional, regional, sub-regional, local) and ranks (1 rank from a few to hundred meters, 2 rank from a hundred meters to a kilometer, 3 rank from 1 km to 35 km, 4 rank from 35 to 100 km, 5 rank more than 100 km). The analysis of the SRTM model with the help of the LEFA toolkit allowed us to identify the zones where the earth’s crust fractures are located. The analysis of the SRTM model with the help of the LEFA toolkit allowed us to identify the zones where the earth’s crust fractures are located. As aresult of the analysis, the West Sakhalin, Central Sakhalin, Hokkaido-Sakhalin (Upper Piltun segment), Piltun, Garomai, Val-Langri, Gyrgylany-Daginsky, South Baikal, Udyl and many other faults of less than rank 2 were identified. The main results of the work will be useful in choosing places for the construction of economic and industrial facilities, as well as in the search and exploration of mineral deposits.

scholarly journals Studi Perubahan Garis Pantai Berdasarkan Interpretasi Citra Satelit Landsat dan Perhitungan Rasio Lahan di Wilayah Pesisir Indramayu Jawa Barat

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Thonas Indra Maryanto ◽  
Wiwin Windupranata ◽  
Samsul Bachri
Keyword(s):  
Satellite Image ◽  
Image Data ◽  
North Coast ◽  
Transitional Region ◽  
Northern Coast ◽  
Residential Areas ◽  
West Java ◽  
The North ◽  
Average Sedimentation Rate ◽  
Landsat Satellite

ABSTRAKWilayah pesisir sebagai kawasan peralihan yang menghubungkan ekosistem darat dan ekosistem laut, sangat rentan terhadap kerusakan dan perubahan yang diakibatkan oleh berbagai aktifitas manusia di darat maupun di laut. Kabupaten Indramayu merupakan salah satu wilayah di Pesisir Utara Jawa Barat yang mengalami kerusakan paling parah diantara seluruh kabupaten di wilayah pesisir Utara Jawa Barat serta memiliki penggunaan lahan pesisir yang cukup lengkap mulai dari pemukiman, persawahan, tambak, dan industri (PLTU dan MIGAS)..Besarnya perubahan garis pantai yang meliputi abrasi dan sedimentasi diturunkan dari data citra satelit Landsat wilayah pesisir Kabupaten Indramayu tahun 1994-2009 dengan metode komposit RGB 4, 5, 7 dan Metode AGSO kemudian dilakukan proses digitasi.. Luas abrasi di 11 Kecamatan Pesisir Indramayu dari tahun 1994 – 2009 sebesar 3900,41 Ha dengan laju abrasi rata-rata sebesar 23,64 Ha/ tahun dan Luas sedimentasi sebesar 650,29 Ha dengan laju sedimentasi rata-rata sebesar 4,81 Ha/tahun. Hasil perhitungan regresi terhadap rasio lahan penduduk untuk tahun 2015 sebesar 0,07 Ha/ jiwa dan menurun pada tahun 2025 menjadi 0,05 Ha/jiwa .Rasio lahan petani untuk tahun 2015 sebesar 0,66 Ha/petani dan menurun menjadi 0,55 Ha/petani di tahun 2025.Kata Kunci : Pesisir indramayu, citra satelit, abrasi dan sedimentasi, Rasio lahanABSTRACTCoastal areas as a transitional region connecting the land ecosystems and marine ecosystems, are vulnerable to damage and changes caused by various human activities on land and at sea. Indramayu regency is one of the areas in the North Coast of West Java is the most severely damaged among all districts in the northern coast of West Java and has a coastal land use complete enough from residential areas, wet rice fields, ponds, and industrial (power plant and Gas). The number of change in coastal line include erosion and sedimentation derived from Landsat satellite image data coastal areas of Indramayu district in 1994-2009 with the composite method RGB 4, 5, 7 and methods AGSO then do the digitization process. The extent of abrasion in 11 districts of the coastal Indramayu from 1994 - 2009 are 3900.41 hectares with average abrasion rate of 23.64 ha / year and sedimentation area of 650.29 hectares with an average sedimentation rate of 4.81 ha / year. Results of regression calculations to land ratio for the 2015 population of 0.07 ha / life and decreased in 2025 to 0.05 hectares /life .Rasio farmers' fields for 2015 of 0.66 ha / farmer and decreased to 0.55 Ha / farmers in 2025. Keywords: Coastal area of indramayu, satellite imagery, erosion and sedimentation, land Ratio

Digital differential hysteresis iimage processing displays what the microscope acquires but the eye can't see

1995 ◽  
Vol 53 ◽  
pp. 642-643
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
Image Processing ◽  
Visual System ◽  
High Precision ◽  
Image Data ◽  
Processing Technology ◽  
Output Data ◽  
Contrast Resolution ◽  
Pixel Intensity ◽  
Data Reading ◽  
Hysteresis Properties

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.

Information and estimation in image processing

1987 ◽  
Vol 45 ◽  
pp. 14-17
Author(s):  
B. Roy Frieden
Keyword(s):  
Image Processing ◽  
Optical System ◽  
Large Amplitude ◽  
Communication Theory ◽  
Image Data ◽  
Direct Approach ◽  
Ill Posed

Despite the skill and determination of electro-optical system designers, the images acquired using their best designs often suffer from blur and noise. The aim of an “image enhancer” such as myself is to improve these poor images, usually by digital means, such that they better resemble the true, “optical object,” input to the system. This problem is notoriously “ill-posed,” i.e. any direct approach at inversion of the image data suffers strongly from the presence of even a small amount of noise in the data. In fact, the fluctuations engendered in neighboring output values tend to be strongly negative-correlated, so that the output spatially oscillates up and down, with large amplitude, about the true object. What can be done about this situation? As we shall see, various concepts taken from statistical communication theory have proven to be of real use in attacking this problem. We offer below a brief summary of these concepts.

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