Introduction to Seismic Inversion Methods

Russell, Brian

doi:10.1190/1.9781560802303

Cited by 217 publications

(88 citation statements)

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“…An interesting echo based alternative would be, e.g., to produce conebeam data similar to this study through a highly targeted narrow beam transmitted and received by a movable lander functioning as a scanner. Moreover, the inversion approach of this study can be used up to some extent in alternative tomographic procedures such as in seismic tomography [35], providing a potential solution for situations in which the target asteroid is impenetrable to a radio signal due to a high concentration of metals, that is characteristic to M-type asteroids [20].…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the high permittivity of the asteroid minerals [17,18,19,20] is likely to lead to strongly randomized or noisy reflections ‡ due to which the present inversion strategy utilizing the direct part of the signal can be advantageous [5]. In addition to asteroid tomography, other potential applications of the present sparse source inversion approach include on-site material testing and inspection [21,22,23,24,25,26,27], biomedical ultrasonography [28,29,30,31,32], as well as plenty of atmospheric, pedospheric, geological, and biological investigations utilizing travel time data [33,34,35], such as recovery of the root-zone structure of a tree [36]. The objectives above were studied in a laboratory experiment in which three 22-41 mm onyx stones were to be detected from the central part of a 150 mm synthetic reson cube based on travel time of a 55 kHz (35 mm wavelength) ultrasonic signal.…”

Section: Introductionmentioning

confidence: 99%

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Sparse source travel-time tomography of a laboratory target: accuracy and robustness of anomaly detection

Pursiainen¹,

Kaasalainen²

2014

Inverse Problems

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Abstract. This study concerned conebeam travel-time tomography. The focus was on a sparse distribution of signal sources that can be necessary in a challenging in situ environment such as in asteroid tomography. The goal was to approximate the minimum number of source positions needed for robust detection of refractive anomalies, e.g., voids within an asteroid or a casting defects in concrete. Experimental ultrasonic data were recorded utilizing as a target a 150 mm plastic cast cube containing three stones with diameter between 22 and 41 mm. A signal frequency of 55 kHz (35 mm wavelength) was used. Source counts from one to six were tested for different placements. Based on our statistical inversion approach and analysis of the results, three or four sources were found to lead to reliable inversion. The source configurations investigated were also ranked according to their performance. Our results can be used, for example, in the planning of planetary missions as well as in material testing.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sparse source travel-time tomography of a laboratory target: accuracy and robustness of anomaly detection

Pursiainen¹,

Kaasalainen²

2014

Inverse Problems

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“…The depositional system of the Pennsylvanian Atoka Group has been studied by Thompson (1982;1988), Glover, (1982, and Lahti et al (1982). However, these studies were mainly focused on the entire Fort Worth Basin.…”

Section: Well-based Depositional Modelmentioning

confidence: 99%

“…It involves two fundamental techniques: wavelet estimation and balanced spike and wavelet deconvolution (Chi, et al, 1984;Yilmaz, 1987;Russell, 1988;Debeye et al, 1990). The CSSI inversion was applied to the Boonsville data set.…”

Section: Constrained Sparse Spike Inversion (Cssi)mentioning

confidence: 99%

Calibration of Seismic Attributes for Reservoir Characterization

Pennington¹

2002

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The project, "Calibration of Seismic Attributes for Reservoir Calibration," is now complete. Our original proposed scope of work included detailed analysis of seismic and other data from two to three hydrocarbon fields; we have analyzed data from four fields at this level of detail, two additional fields with less detail, and one other 2D seismic line used for experimentation. We also included time-lapse seismic data with ocean-bottom cable recordings in addition to the originally proposed static field data. A large number of publications and presentations have resulted from this work, inlcuding several that are in final stages of preparation or printing; one of these is a chapter on "Reservoir Geophysics" for the new Petroleum Engineering Handbook from the Society of Petroleum Engineers.Major results from this project include a new approach to evaluating seismic attributes in timelapse monitoring studies, evaluation of pitfalls in the use of point-based measurements and facies classifications, novel applications of inversion results, improved methods of tying seismic data to the wellbore, and a comparison of methods used to detect pressure compartments. Some of the data sets used are in the public domain, allowing other investigators to test our techniques or to improve upon them using the same data.From the public-domain Stratton data set we have demonstrated that an apparent correlation between attributes derived along 'phantom' horizons are artifacts of isopach changes; only if the interpreter understands that the interpretation is based on this correlation with bed thickening or thinning, can reliable interpretations of channel horizons and facies be made. From the publicdomain Boonsville data set we developed techniques to use conventional seismic attributes, including seismic facies generated under various neural network procedures, to subdivide regional facies determined from logs into productive and non-productive subfacies, and we developed a method involving cross-correlation of seismic waveforms to provide a reliable map of the various facies present in the area. The Wamsutter data set led to the use of unconventional attributes including lateral incoherence and horizon-dependent impedance variations to indicate regions of former sand bars and current high pressure, respectively, and to evaluation of various upscaling routines. The Teal South data set has provided a surprising set of results, leading us to develop a pressure-dependent velocity relationship and to conclude that nearby reservoirs are undergoing a pressure drop in response to the production of the main reservoir, implying that oil is being lost through their spill points, never to be produced. Additional results were found using the public-domain Waha and Woresham-Bayer data set, and some tests of technologies were made using 2D seismic lines from Michigan and the western Pacific ocean.

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“…Within the deterministic framework, the sparse-spike and model-based methodologies are the most widespread inversion techniques among the geophysical community (Russel, 1988;Bosch et al, 2010). The uncertainty assessment of deterministic solutions is limited because it is represented by a linearization problem around least-squares inverse solutions.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional scaling for the evaluation of a geostatistical seismic elastic inversion methodology

et al. 2014

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Due to the nature of seismic inversion problems, there are multiple possible solutions that can equally fit the observed seismic data while diverging from the real subsurface model. Consequently, it is important to assess how inverse-impedance models are converging toward the real subsurface model. For this purpose, we evaluated a new methodology to combine the multidimensional scaling (MDS) technique with an iterative geostatistical elastic seismic inversion algorithm. The geostatistical inversion algorithm inverted partial angle stacks directly for acoustic and elastic impedance (AI and EI) models. It was based on a genetic algorithm in which the model perturbation at each iteration was performed recurring to stochastic sequential simulation. To assess the reliability and convergence of the inverted models at each step, the simulated models can be projected in a metric space computed by MDS. This projection allowed distinguishing similar from variable models and assessing the convergence of inverted models toward the real impedance ones. The geostatistical inversion results of a synthetic data set, in which the real AI and EI models are known, were plotted in this metric space along with the known impedance models. We applied the same principle to a real data set using a crossvalidation technique. These examples revealed that the MDS is a valuable tool to evaluate the convergence of the inverse methodology and the impedance model variability among each iteration of the inversion process. Particularly for the geostatistical inversion algorithm we evaluated, it retrieves reliable impedance models while still producing a set of simulated models with considerable variability.

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Introduction to Seismic Inversion Methods

Cited by 217 publications

References 0 publications

Sparse source travel-time tomography of a laboratory target: accuracy and robustness of anomaly detection

Sparse source travel-time tomography of a laboratory target: accuracy and robustness of anomaly detection

Calibration of Seismic Attributes for Reservoir Characterization

Multidimensional scaling for the evaluation of a geostatistical seismic elastic inversion methodology

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