Prediction of petrophysical parameters using probabilistic neural network technique

Kushwaha, Prabodh Kumar; Maurya, Satya Prakash; Rai, Piyush; Singh, N. P.

doi:10.1016/b978-0-12-820513-6.00019-9

Cited by 5 publications

(6 citation statements)

References 16 publications

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“…The four categories of these geostatistical techniques are single-attribute analysis, multi-attribute regression, PNN, and MLFN. PNN and MLFN derive nonlinear relationships rather than linear relationships as in a single attribute and multi-attribute case [10,[23][24][25][26][27][28][29][30][31][32][33][34][35].…”

Section: Geostatistical Techniquesmentioning

confidence: 99%

“…Previous research has already shown that reservoir porosity and density can be measured using statistical methods and intelligent systems [10,[31][32][33]. However, the majority of the time, neural network techniques rely on a linear fit between seismic features and reservoir properties [34][35][36][37]. This paper aims to use seismic attributes to estimate petrophysical parameters from well-log data by applying PNN and MLFN neural network techniques.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Petrophysical Properties using Post Stack Seismic Inversion and Geostatistical Techniques over F-3 Block, Netherlands - A Comparative Study

Kushwaha,

Singh,

Maurya

et al. 2023

Int. J. Petrol. Technol.

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To estimate petrophysical parameters, seismic inversion techniques have been frequently used for estimating attributes like P-impedance, elastic impedance, S-impedance, density, Vp / Vs ratio, and gamma-ray logs from seismic and well-log data. These characteristics enable us to comprehend subsurface lithology for geo-seismic analysis, including its extent and shape. Four different post-stack inversion techniques, including bandlimited inversion (BLI), colored inversion (CI), maximum likelihood sparse spike inversion (MLSSI), and model-based inversion (MBI), have been applied to the post-stack seismic data from the F3 block in the Netherlands in this study. The objective is to compare the efficacy of these inversion methods over F3 block seismic data. For post-stack inversion, the data was inverted into a very high-resolution P-impedance volume. The analysis depicts that all four inversion methods provide mutually consistent subsurface information with marginally better MBI results. Furthermore, geostatistical techniques have been used intensively for further testifying the results obtained from post-stack inversion methods. The geostatistical techniques use seismic data-derived attributes and inverted impedance-derived attributes as input to estimate P-wave velocity, porosity, and density away from the boreholes. Two geostatistical methods namely probabilistic neural network (PNN) and multilayer feed-forward neural network (MLFN) are used for the analysis. Porosity, density, and P-wave velocity have been predicted using both techniques which highlighted different characteristics of the subsurface with very detailed information. The derived results show that reservoir properties have been better estimated with the combination of MBI and PNN techniques for F3 block data over the other methods used in this study.

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Section: Geostatistical Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of Petrophysical Properties using Post Stack Seismic Inversion and Geostatistical Techniques over F-3 Block, Netherlands - A Comparative Study

Kushwaha,

Singh,

Maurya

et al. 2023

Int. J. Petrol. Technol.

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“…There are many references involving the notion of 'seismic attribute' [12][13][14][15][16], often giving the definition of the issue. What can be noticed is a slight evolution in the meaning of the seismic attribute [12,13].…”

Section: Purpose and Categories Of Attributesmentioning

confidence: 99%

Seismogram Rearrangement as a Perspective Basis for Defining New Attributes

Babić,

Babić

2023

Applied Sciences

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Proper regulative in earthquake risk reduction, hazard assessment, earthquake resistant design and construction of structures, should be under perpetual improvement. They are mainly the result of earthquake study and analysis of post-seismic effects. In this context, a new frame for seismogram analysis is proposed, based on its decomposition into elementary and single (positive and negative) fluctuations (EF/SF). Decomposition enables rearrangement, both providing the frame for defining new attributes, where several main ones are proposed and elaborated in the paper: fan diagram of EFs structural axes; R- or RQ-envelope, formed over positive and over negative peaks of ordered SFs; two forms of difference functions of positive and negative R/RQ-envelopes, as a measure of seismogram’s (a)symmetry, in respect to t-axis; distributions of SFs durations. Several others are in perspective. Analogy between R-envelope and seismogram’s spectrum is considered from the aspects of arranged elements, and asymptotic behavior of these two functional attributes. More objective definition of seismogram duration is proposed, determined by linear regression across the scatter plot of SFs peaks. R-envelope showed itself as an invariant in the seismogram population, and the distribution of SFs durations as well. Results are presented through extensive graphics, backed with mathematical description. Thorough discussion of the concept and results is given.

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“…The system hardware in Figure 1 applies multimedia network technology to share the resources of Smart Library. The system hardware adds a large number of embedded products to support various cloud classroom systems, improve teaching quality, and ensure students' learning efficiency [ 17 ].…”

Section: Personalized Information Service System Of Smart Library Und...mentioning

confidence: 99%

“…e system hardware adds a large number of embedded products to support various cloud classroom systems, improve teaching quality, and ensure students' learning efficiency [17].…”

Section: Hardware Design Of the Personalized Information Servicementioning

confidence: 99%

Personalized Information Service System of Smart Library Based on Multimedia Network Technology

Wang

2022

Computational Intelligence and Neuroscience

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Scientific and objective book quality evaluation and research on the value of books in the smart library are conducive to improving the reading needs of readers. However, it is difficult to obtain the important coefficient of the subjective and objective weight of the personalized information service index of the smart library at present, which has the problem of poor system performance. Therefore, a personalized information service system of the smart library based on multimedia network technology is designed. In multimedia network technology, the data collector module, data retriever module, and data memory module of the system hardware are designed. The Ethernet interface is connected through three buses to ensure the efficient operation of the system; according to the hardware, the software flow is introduced, which is divided into UI layer, logical business layer, and data access layer. On this basis, the application program is designed, all operation instructions follow the association rules, and the single-chip microcomputer is connected with the voice chip through the SPI serial port, so as to complete the design of the personalized information service system of the smart library. The experimental results show that the average absolute deviation of the designed system is small, the comprehensive performance is strong, and the update delay is kept within 0.6 s, which can improve the work efficiency.

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Prediction of petrophysical parameters using probabilistic neural network technique

Cited by 5 publications

References 16 publications

Prediction of Petrophysical Properties using Post Stack Seismic Inversion and Geostatistical Techniques over F-3 Block, Netherlands - A Comparative Study

Prediction of Petrophysical Properties using Post Stack Seismic Inversion and Geostatistical Techniques over F-3 Block, Netherlands - A Comparative Study

Seismogram Rearrangement as a Perspective Basis for Defining New Attributes

Personalized Information Service System of Smart Library Based on Multimedia Network Technology

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