Acoustic Full Waveforms as a Bridge between Seismic Data and Laboratory Results in Petrophysical Interpretation

Wawrzyniak-Guz, K.

doi:10.1515/acgeo-2016-0116

Cited by 5 publications

(3 citation statements)

References 23 publications

(19 reference statements)

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“…Special methodology for the calculation of attributes from acoustic full waveforms, similar to seismic attributes, was developed. The technique was previously designed for data recorded by sonic tools with monopole sources of elastic waves and successfully tested in siliciclastic and carbonate rocks of some Polish conventional hydrocarbon plays [3]. However, in this study the methodology needed to be adjusted and modified with respect to different tool design and distinct characteristic of waveforms that were recorded by Cross Dipole Wave Sonic tool (Halliburton) in shale formations from the Baltic Basin, Poland.…”

Section: Methodsmentioning

confidence: 99%

Instantaneous Attributes Applied to Full Waveform Sonic Log and Seismic Data in Integration of Elastic Properties of Shale Gas Formations in Poland

Wawrzyniak-Guz

2018

E3S Web Conf.

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Seismic attributes calculated from full waveform sonic log were proposed as a method that may enhance the interpretation the data acquired at log and seismic scales. Though attributes calculated in the study were the mathematical transformations of amplitude, frequency, phase or time of the acoustic full waveforms and seismic traces, they could be related to the geological factors and/or petrophysical properties of rock formations. Attributes calculated from acoustic full waveforms were combined with selected attributes obtained for seismic traces recorded in the vicinity of the borehole and with petrophysical parameters. Such relations may be helpful in elastic and reservoir properties estimation over the area covered by the seismic survey.

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Section: Methodsmentioning

confidence: 99%

Instantaneous Attributes Applied to Full Waveform Sonic Log and Seismic Data in Integration of Elastic Properties of Shale Gas Formations in Poland

Wawrzyniak-Guz

2018

E3S Web Conf.

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“…e complex and multidimensional data structure promotes the wide application and rapid development of multidimensional data analysis technology. Growing technology has made seismic data widely used in multiple research fields involved in the interpretation of stratigraphic sequence frames, reservoir identification, and fluid detection; using seismic interpretation of isochronous tectonic plates and faults, combined with well contrast, stratification and stratigraphic development characteristics, the application of high-precision 3D area, and the improvement of seismic reservoir interpretation levels have made the reliability of seismic description reservoirs increasingly greater [1,2]. e difference between complex fault block reservoirs and conventional reservoirs is that reservoirs are often complicated by faults.…”

Section: Introductionmentioning

confidence: 99%

Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence

Peng

Li²,

Zhu

et al. 2021

Mobile Information Systems

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The development of seismic technology has made seismic data to be widely used in the interpretation of stratigraphic sequence frames, reservoir identification, fluid detection, and other research fields involved in reservoir description. The 3D technology reservoirs have always been the focus, as well as difficulty, of research. With the rapid development of information technology and the continuous improvement of seismic exploration level, people have put forward higher requirements for the accuracy of seismic data interpretation results. Aiming at the large number of structural and unstructured data in seismic, logging, geology, and other disciplines involved in seismic interpretation, how to effectively organize and coordinate analysis to discover the hidden reservoir structure and oil and gas distribution information has always been a geological and important topic for information processing technicians. This thesis is aimed at the current high-water-phase development of Shengtuo Oilfield reservoir and the problems existing in geological research. Based on seismic structural interpretation and attribute analysis, this paper analyzes the reservoir structural characteristics, sedimentary characteristics, and reservoir physical parameter characteristics based on geology, logging interpretation, core analysis, drilling, and seismic interpretation. Using the kriging method with external drift can cooperate with seismic variables to establish a reservoir geological model to study the Shengtuo Oilfield reservoir. We combine artificial intelligence technology with geological modeling technology of seismic interpretation results to explore the best method for predicting earthquakes. The research results in this paper show that the relative error of the model established by the kriging method in the article is relatively small for thinning wells, mainly concentrated around 1%. Examination of the thinning wells of 45 wells shows that the model established is basically good and the example has high accuracy. The research results in this paper have a guiding study of distribution and tapping potentials in the study area, formulating reasonable development and adjustment plans and improving oil recovery.

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“…In this study, the finite difference (FD) method of the elastic wave equation is used to simulate a monopole full-wave acoustic-logging response of a fluid-filled cave in a homogeneous formation [21,22]. On this basis, the results of a numeric simulation are used to analyze actual logging data [23].…”

Section: Introductionmentioning

confidence: 99%

Numeric Simulation of Acoustic-Logging of Cave Formations

Wang

2020

Energies

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The finite difference (FD) method of monopole source is used to simulate the response of full-wave acoustic-logging in cave formations. The effect of the cave in the formation of borehole full-waves was studied. The results show that the radius of cave is not only linearly related to the first arrival of the compressional wave (P-wave), but also to the energy of the shear wave (S-wave). The converted S (S–S wave) and P-waves (S–P wave) are formed when the S-wave encounters the cave. If the source distance is small, the S–S and S–P waves are not separated, and the attenuation of the S-wave is not large, due to superposition of the converted waves. The S–P wave has been separated from the S-wave when the source distance is large, so the attenuation of the S-wave increases. The amplitude of the P and S–waves changes most when the distance of the cave to the borehole wall reaches a certain value; this value is related to the excitation frequency. The amplitude of the Stoneley wave (ST wave) varies directly with the radius of cave. If the radius of the cave is large, the energy of ST wave is weak. The scattered wave is determined by the radius and position of the cave. The investigation depth of a monopole source is limited. When the distance of the cave to the borehole wall exceeds the maximum investigation depth, the borehole acoustic wave is little affected by the cave. In actual logging, the development of the cave can be evaluated by using the first arrival of the P-wave and the energy of the S and ST waves.

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Acoustic Full Waveforms as a Bridge between Seismic Data and Laboratory Results in Petrophysical Interpretation

Cited by 5 publications

References 23 publications

Instantaneous Attributes Applied to Full Waveform Sonic Log and Seismic Data in Integration of Elastic Properties of Shale Gas Formations in Poland

Instantaneous Attributes Applied to Full Waveform Sonic Log and Seismic Data in Integration of Elastic Properties of Shale Gas Formations in Poland

Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence

Numeric Simulation of Acoustic-Logging of Cave Formations

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