scholarly journals Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Jianhua Cao ◽  
Xiankun Zhang ◽  
Yan Wang ◽  
Qi Zhao
Keyword(s):  
Three Dimensional ◽  
Seismic Attributes ◽  
Petroleum Engineering ◽  
Color Model ◽  
Color Channel ◽  
Primary Color ◽  
The Enlightenment ◽  
Geological Information ◽  
The Hilbert Transform ◽  
Color Blending

Recently, ideas of color blending have brought the enlightenment for subsurface geobody imaging in petroleum engineering. In this paper, we present this approach of CMY color blending and its application in subsurface geobody characterization by using seismic attributes data. The first step is to calculate three types of seismic attributes based on the Hilbert transform algorithm, including envelop, instantaneous phase, and instantaneous frequency. Then scale the three attributes and combine them together using CMY color model in three-dimensional environment, with each attribute corresponding to one primary color channel. Adjust the scale and offset for each color component and then mix them optimally to create one color-blended volume. The blended volume in CMY mode has plenty of geological information coming from the three input attributes, resulting in high resolution and accurate image for subsurface geobodies. Applications show good performances in buried channels, caves, and faults imaging. Based on the blended slice, the geological targets can be easily but accurately interpreted and depicted.

scholarly journals Geomorphological Geometries and High-Resolution Seismic Sequence Stratigraphy of Malay Basin’s Fluvial Succession

2021 ◽  
Vol 11 (11) ◽  
pp. 5156
Author(s):  
Abd Al-Salam Al-Masgari ◽  
Mohamed Elsaadany ◽  
Numair A. Siddiqui ◽  
Abdul Halim Abdul Latiff ◽  
Azli Abu Bakar ◽  
...  
Keyword(s):  
High Resolution ◽  
Sequence Stratigraphy ◽  
Three Dimensional ◽  
Seismic Attributes ◽  
Seismic Facies ◽  
Seismic Sequence ◽  
3D Seismic ◽  
Seismic Sequences ◽  
Seismic Sequence Stratigraphy ◽  
Point Bars

This study identified the Pleistocene depositional succession of the group (A) (marine, estuarine, and fluvial depositional systems) of the Melor and Inas fields in the central Malay Basin from the seafloor to approximately −507 ms (522 m). During the last few years, hydrocarbon exploration in Malay Basin has moved to focus on stratigraphic traps, specifically those that existed with channel sands. These traps motivate carrying out this research to image and locate these kinds of traps. It can be difficult to determine if closely spaced-out channels and channel belts exist within several seismic sequences in map-view with proper seismic sequence geomorphic elements and stratigraphic surfaces seismic cross lines, or probably reinforce the auto-cyclic aggregational stacking of the avulsing rivers precisely. This analysis overcomes this challenge by combining well-log with three-dimensional (3D) seismic data to resolve the deposition stratigraphic discontinuities’ considerable resolution. Three-dimensional (3D) seismic volume and high-resolution two-dimensional (2D) seismic sections with several wells were utilized. A high-resolution seismic sequence stratigraphy framework of three main seismic sequences (3rd order), four Parasequences sets (4th order), and seven Parasequences (5th order) have been established. The time slice images at consecutive two-way times display single meandering channels ranging in width from 170 to 900 m. Moreover, other geomorphological elements have been perfectly imaged, elements such as interfluves, incised valleys, chute cutoff, point bars, and extinction surfaces, providing proof of rapid growth and transformation of deposits. The high-resolution 2D sections with Cosine of Phase seismic attributes have facilitated identifying the reflection terminations against the stratigraphic amplitude. Several continuous and discontinuous channels, fluvial point bars, and marine sediments through the sequence stratigraphic framework have been addressed. The whole series reveals that almost all fluvial systems lay in the valleys at each depositional sequence’s bottom bars. The degradational stacking patterns are characterized by the fluvial channels with no evidence of fluvial aggradation. Moreover, the aggradation stage is restricted to marine sedimentation incursions. The 3D description of these deposits permits distinguishing seismic facies of the abandoned mud channel and the sand point bar deposits. The continuous meandering channel, which is filled by muddy deposits, may function as horizontal muddy barriers or baffles that might isolate the reservoir body into separate storage containers. The 3rd, 4th, and 5th orders of the seismic sequences were established for the studied succession. The essential geomorphological elements have been imaged utilizing several seismic attributes.

Moving Objects Detection Algorithm Based on Three-Dimensional Gaussian Mixture Codebook Model Using XYZ Color Model

2013 ◽  
Vol 347-350 ◽  
pp. 3505-3509 ◽  
Author(s):  
Jin Huang ◽  
Wei Dong Jin ◽  
Na Qin
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Moving Objects ◽  
Three Dimensional ◽  
Gaussian Mixture ◽  
Detection Algorithm ◽  
Color Model ◽  
Moving Objects Detection ◽  
Objects Detection ◽  
Model Algorithm

In order to reduce the difficulty of adjusting parameters for the codebook model and the computational complexity of probability distribution for the Gaussian mixture model in intelligent visual surveillance, a moving objects detection algorithm based on three-dimensional Gaussian mixture codebook model using XYZ color model is proposed. In this algorithm, a codebook model based on XYZ color model is built, and then the Gaussian model based on X, Y and Z components in codewords is established respectively. In this way, the characteristic of the three-dimensional Gaussian mixture model for the codebook model is obtained. The experimental results show that the proposed algorithm can attain higher real-time capability and its average frame rate is about 16.7 frames per second, while it is about 8.3 frames per second for the iGMM (improved Gaussian mixture model) algorithm, about 6.1 frames per second for the BM (Bayes model) algorithm, about 12.5 frames per second for the GCBM (Gaussian-based codebook model) algorithm, and about 8.5 frames per second for the CBM (codebook model) algorithm in the comparative experiments. Furthermore the proposed algorithm can obtain better detection quantity.

scholarly journals Morpholithodynamics of lagoonal straits of the North-Eastern Sakhalin

2019 ◽  
pp. 79-94
Author(s):  
V. V. Afanasev
Keyword(s):  
Additional Data ◽  
Three Dimensional ◽  
Remote Sensing Data ◽  
Water Area ◽  
The North ◽  
North Eastern ◽  
Geological Information ◽  
History Of ◽  
Three Dimensional Models ◽  
And Migration

The results of the analysis of geospatial and geological information on the structure and dynamics of the lagoon coast of the North-Eastern Sakhalin are presented. On the basis of a number of parameters of the coastal erosion-accumulation processes and migration of lagoon straits during the period 1927–2014. the morpholithodynamics system of the North-Eastern Sakhalin was considered. The volume of sediments transported during the migration of the straits, was estimated with the help of three-dimensional models, in which, parallel with time-averaged areas of erosion and accumulation, additional data were used, namely: bathymetry of the straits and adjacent water area, characteristics of the relief of the barrier forms and geological information obtained as a result of georadar survey and drilling. Georadar data, together with remote sensing data, have made it possible to create a model of sedimentation, which formed the basis for the analysis of the history of the coast formation beyond the period of observations. Currently, we can trace the situation as long as to the middle of the XIXth century.

Toward a three‐dimensional automatic interpretation of potential field data via generalized Hilbert transforms: Fundamental relations

Geophysics ◽  
1984 ◽  
Vol 49 (6) ◽  
pp. 780-786 ◽  
Author(s):  
Misac N. Nabighian
Keyword(s):  
Hilbert Transform ◽  
Potential Field ◽  
Field Data ◽  
Three Dimensional ◽  
Analytic Signal ◽  
Three Dimensions ◽  
Hilbert Transforms ◽  
Potential Field Data ◽  
Automatic Interpretation ◽  
The Hilbert Transform

The paper extends to three dimensions (3-D) the two‐dimensional (2-D) Hilbert transform relations between potential field components. For the 3-D case, it is shown that the Hilbert transform is composed of two parts, with one part acting on the X component and one part on the Y component. As for the previously developed 2-D case, it is shown that in 3-D the vertical and horizontal derivatives are the Hilbert transforms of each other. The 2-D Cauchy‐Riemann relations between a potential function and its Hilbert transform are generalized for the 3-D case. Finally, the previously developed concept of analytic signal in 2-D can be extended to 3-D as a first step toward the development of an automatic interpretation technique for potential field data.

A Metadata Management Model for Massive Data Engineering in Oilfield

2014 ◽  
Vol 513-517 ◽  
pp. 4372-4377 ◽  
Author(s):  
Hua Ping Xiong ◽  
Wan Wei Liu ◽  
Chun Yu Zhao
Keyword(s):  
Distributed Storage ◽  
Three Dimensional ◽  
Petroleum Engineering ◽  
Multidisciplinary Teams ◽  
Data Governance ◽  
Levels Of Abstraction ◽  
Data Services ◽  
Metadata Model ◽  
Data Engineering ◽  
Four Levels

Petroleum engineering is a complicated subject which involves multidisciplinary teams of scientists, engineers, operators and managers to use real-time and historic data to perform modeling, interpretation, analysis and decision-making activities. During this process, some very crucial tasks come from how to effectively collect and manage the acquired datasets, how to efficiently provide data services, and how to control and assess data quality. In addition, heterogeneous sources and various types of the datasets make the process more complicated. To achieve effective data engineering, metadata is discussed in this paper. Furthermore, a comprehensive, extensible and operational metadata model is presented. The model is discussed from different perspectives. Conceptually, it is a metadata framework with four levels of abstraction. Logically, it characterizes a three-dimensional geological data map that interconnects geological entities on the plane and mounts data resources as sub-trees on the other dimension. Physically, it adopts a federated topology and supports distributed storage and management by virtual nodes mapping. Finally, how the metadata model works in data governance, collection, management, and service is illustrated.

Study on Moving Object Detection Based on RGB Color Model

2013 ◽  
Vol 710 ◽  
pp. 700-703
Author(s):  
Chun Yang Liu ◽  
Dao Zheng Hou ◽  
Chang An Liu
Keyword(s):  
Difference Method ◽  
Moving Objects ◽  
Color Image ◽  
Three Dimensional ◽  
Color Model ◽  
Current Frame ◽  
Gray Image ◽  
Average Value ◽  
The Difference ◽  
Background Difference

The traditional background difference method is based on gray image. Some information is lost when color image is transformed into gray image. So it is difficult to discriminate different colors with similar gray values and easily disturbed by noise and shadows. In this paper, the background difference is based on RGB color model. It is proposed to use the average value of each pixel of the color image sequences to extract the background, and then use the three-dimensional color values of the current frame and background image to compute the difference to detect the moving objects. The proposed approach is simple and easy to implement. The experimental results show that it is more sensitive to colors and has higher accuracy and robustness than the traditional background difference method. Besides, it is more resistant to shadows.

Delineation of reservoir channels by different seismic attributes and geobody extractions for robust volumetric estimation, Saffron Field, offshore Nile Delta, Egypt

2021 ◽  
Vol 40 (7) ◽  
pp. 484-493
Author(s):  
Doha Monier ◽  
Azza El Rawy ◽  
Abdullah Mahmoud
Keyword(s):  
Seismic Data ◽  
Nile Delta ◽  
Three Dimensional ◽  
Dynamic Test ◽  
Data Interpretation ◽  
Seismic Attributes ◽  
Reservoir Properties ◽  
Root Mean Square Amplitude ◽  
Seismic Attribute ◽  
Attribute Analysis

The Nile Delta Basin is a major gas province. Commercial gas discoveries there have been proven mainly in Pleistocene to Oligocene sediments, and most discoveries are within sandstone reservoirs. Three-dimensional seismic data acquired over the basin have helped greatly in imaging and visualization of stratigraphy and structure, leading to robust understanding of the subsurface. Channel fairways serve as potential reservoir units; hence, mapping channel surfaces and identifying and defining infill lithology is important. Predicting sand distribution and reservoir presence is one of the key tasks as well as one of the key uncertainties in exploration. Integrating state-of-the-art technologies, such as including 3D seismic reflection surveys, seismic attributes, and geobody extractions, can reduce this uncertainty through recognition and accurate mapping of channel features. In this study, seismic attribute analysis, frequency analysis through spectral decomposition (SD), geobodies, and seismic sections have been used to delineate shallow Plio-Pleistocene El Wastani Formation channel fairways within the Saffron Field, offshore Nile Delta, Egypt. This has led to providing more reliable inputs for calculation of volumetrics. Interpretation of the stacked-channels complex through different seismic attributes helped to discriminate between sand-filled and shale-filled channels and in understanding their geometries. Results include more confident delineation of four distinct low-sinuosity channelized features. Petrophysical evaluation conducted on five wells penetrating Saffron reservoirs included electric logs and modular dynamic test data interpretation. The calculated average reservoir properties were used in different volumetric calculation cases. Different approaches were applied to delineate channel geometries that were later used in performing different volumetric cases. These approaches included defining channels from root-mean-square amplitude extractions, SD color-blended frequencies, and geobodies, all calculated from prestack seismic data. The different volumetric cases performed were compared against the latest field volume estimates proven after several years of production in which an area-versus-depth input showed the closest calculated hydrocarbon volumes to the actual proven field volumes.

The pattern design of fabrics produced by three-channel rotor-spun colorful melange yarn

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bo Pan ◽  
Xiao Yi Yang ◽  
Rui Hua Yang
Keyword(s):  
Design Methodology ◽  
Linear Density ◽  
Three Dimensional ◽  
Environmentally Friendly ◽  
Longitudinal Direction ◽  
Pattern Design ◽  
Content Type ◽  
Primary Color ◽  
Rotor Spinning ◽  
Innovative Idea

PurposeThe purpose of this article is to design and make fabrics with colorful melange yarns spun by a three-channel rotor spinning machine.Design/methodology/approachThe three-channel digital rotor-spun machine controls the blending proportion by adjusting the feeding of three-primary color fiber slivers online, so that a piece of colorful yarn presents a variety of colors along the longitudinal direction where constant yarn linear density can be produced flexibly. Various fabric patterns can be produced by three-channel rotor-spun colorful melange yarn with different periods of color.FindingsThe fabric, made by the rotor-spun colorful melange yarn, is rich in color, clear in layers, soft in the hand and has a hazy three-dimensional effect. The product is environmentally friendly and saves energy.Originality/valueAn innovative idea to develop various colorful fabrics is proposed by combining their pattern with colorful melange yarn produced by a three-channel rotor spinning machine.

Seismic Attributes and Acoustic Inversion for Shallow Marine Slope Stratigraphy Analysis

2021 ◽  
Author(s):  
Jungrak Son ◽  
Rebecca Boon ◽  
Julien Kuhn de Chizelle
Keyword(s):  
Signal Processing ◽  
Site Characterization ◽  
Seismic Attributes ◽  
Offshore Structures ◽  
Seismic Inversion ◽  
Shallow Marine ◽  
Time Domain Data ◽  
Geological Features ◽  
Marine Site ◽  
The Hilbert Transform

Abstract Geophysical seismic surveys have been used in marine site characterization for subsea engineering and the design of offshore structures. Signal processing plays a key role in obtaining seismic attributes from observed seismic data to identify subsurface geological features within complex shallow sediments. Instantaneous amplitude, phase, and frequency are the most widely used seismic attributes to indicate geological features, but those time-domain data are too limited to define an accurate subsurface model in depth. Therefore, seismic inversion is also required to generate additional geospatial subsurface model information to aid in shallow stratigraphy interpretation. In this paper, we applied both geophysical signal processing and stochastic seismic inversion to a high-resolution multichannel seismic dataset from the Eastern North American Margin (ENAM). Seismic attributes from the Hilbert transform and inversion modeling results (acoustic impedance and modeling uncertainty) were integrated to define better geological horizons and discontinuities. The results show the integrated geophysical subsurface models can support seismic interpretation and improve shallow marine site characterization.

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