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Featured researches published by Dries Gisolf.


Inverse Problems | 2005

The diagonalized contrast source approach: an inversion method beyond the Born approximation

Aria Abubakar; Tarek M. Habashy; Peter M. van den Berg; Dries Gisolf

This paper deals with the imaging and inversion of the constitutive material properties of bounded objects embedded in a known background medium. The inversion utilizes measurements of the scattered field due to the illumination of the objects by a set of known single-frequency wave fields. We present two inverse scattering methods that approximately recast the full nonlinear inversion into a number of linear inversion steps. The two methods are as computationally efficient as the constrained Born inversion but provide reconstruction results that are far superior and are almost comparable in quality to the ones obtained using a full nonlinear iterative inversion. The linear inversion steps follow what is referred to as the source-type integral equation approach in which the contrast sources are inverted for in the first step from the linear data equation. In this step, we employ a local (diagonal) approximation of the operator that relates the contrast sources to the incident field. Once the contrast sources have been determined, the total internal wave fields follow from a direct application of the object equation. In the third and final step, the contrast function is estimated from either the constitutive relation (first method) or from solving the data equation again, this time in terms of the contrast profile (second method). The computational cost required by the first method is comparable to that of a constrained Born inversion. With only twice the computational cost, the second method invariably gives an almost perfect image. We will demonstrate the two methods for a number of representative synthetic examples, both in two and three dimensions.


AAPG Bulletin | 2014

Acoustic nonlinear full-waveform inversion on an outcrop-based detailed geological and petrophysical model (Book Cliffs, Utah)

Daria Tetyukhina; Stefan M. Luthi; Dries Gisolf

Analog outcrops are commonly used to develop predictive reservoir models and provide quantitative parameters that describe the architecture and facies distribution of sedimentary deposits at a subseismic scale, all of which aids exploration and production strategies. The focus of this study is to create a detailed geological model that contains realistic reservoir parameters and to apply nonlinear acoustic full-waveform prestack seismic inversion to this model to investigate whether this information can be recovered and to examine which geological features can be resolved by this process.Outcrop data from the fluviodeltaic sequence of the Book Cliffs (Utah) are used for the geological and petrophysical two-dimensional model. Eight depositional environments are populated with average petrophysical reservoir properties adopted from a North Sea field. These units are termed lithotypes here. Synthetic acoustic prestack seismic data are then generated with the help of an algorithm that includes all internal multiples and transmission effects. A nonlinear acoustic full-waveform inversion is then applied to the synthetic data, and two media parameters, compressibility (inversely related to the square of the compressional wave velocity vP) and bulk density, ρ, are recovered at a resolution higher than the shortest wavelength in the data. This is possible because the inversion exploits the nonlinear nature of the relationship between the recorded data and the medium contrast properties. In conventional linear inversion, these details remain masked by the noise caused by the nonlinear effects in the data. Random noise added to the data is rejected by the nonlinear inversion, contributing to improved spatial resolution. The results show that the eight lithotypes can be successfully recovered at a subseismic scale and with a low degree of processing artifacts. This technique can provide a useful basis for more accurate reservoir modeling and field development planning, allowing targeting of smaller reservoir units such as distributary channels and lower shoreface sands.


Seg Technical Program Expanded Abstracts | 2011

Application of Blended Seismic Data in Full Waveform Inversion

André Bulcão; Djalma Manoel Soares Filho; Gustavo Catão Alves; Luiz Alberto Santos; Túlio do Valle Moreira; Peter M. van den Berg; Dries Gisolf

Summary In seismic imaging the Full Waveform Inversion (FWI) has recently gained much importance, mainly due to advances in computational power and seismic acquisition improvements, especially in areas with high geological complexities. In fact, it can provide higher seismic resolution compared to pre-stack depth migration, which may contribute to better seismic interpretation. However, for complex geological models the success of seismic imaging depends on the design of the seismic experiment. In fact, besides the necessity of a wide spectrum of frequencies, it is required to properly register the scattering wavefields associated to the geological targets. Otherwise, the imaging and inversion schemes are not effective. Acquiring the scattering wavefields as a 3D field may be cost prohibitive using conventional surveys, where consecutive shot records don’t have time superposition. In this work, we abandon this condition, and extend the inversion scheme called Contrast Source Inversion (CSI) to handle data in which shots are superposed randomly (Blended data). On the propose method, the deblending phase (separation the interference between shots) is not necessary. Numerical results applied on Marmousi model show how efficient, accurate, and stable this method is when compared to results obtained with traditional acquisition approaches. Even in very low signal to noise ratio cases, except for small artifacts, it was possible to recover all features present in the original model.


Petroleum Geoscience | 2017

Obtaining a high-resolution geological and petrophysical model from the results of reservoir-orientated elastic wave-equation-based seismic inversion

Runhai Feng; Stefan M. Luthi; Dries Gisolf; Siddharth Sharma

A previous geological and petrophysical model of the fluvio-deltaic Book Cliffs outcrops contained eight lithotypes, within each of which a number of lithologies were grouped. While this model was an adequate representation of the overall depositional architecture, for reservoir-geological purposes the potential reservoir and non-reservoir lithologies needed to be separated. Here, a new and more detailed geological model is presented in which more differentiation is put on the potential reservoir lithologies. This new model contains 12 lithologies with layers down to 1 m in thickness. Assuming a burial depth of 3 km and an average clay content, representative rock physical properties are assigned to lithologies based on published data. After the model thickness has been stretched by a factor of 4 in order to represent a more realistic reservoir, a full-waveform forward seismic response is modelled. These data are used as inputs into an iterative elastic wave-equation-based inversion scheme, with the goal to retrieve the rock properties and layer geometries. The results of this conceptual study show that sandstone units in the shoreface and distributary channels, which are potential reservoirs, are successfully identified. The recovery of medium parameters has a high resolution because the non-linear relationship between rock properties and the seismic data has been exploited.


73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011 | 2011

Localised Linear 2-D Inversion by Data Pre-conditioning in the Time-domain

Peter Haffinger; P. M. van den Berg; Dries Gisolf

In seismic, full-waveform inversion is a rather new approach since the scale of the problem to date, has not allowed for really satisfactory implementations yet. This is mainly due to the size of seismic data sets and the limitation in computational resources, as well as to the high ill-posedness of the problem. In this paper we propose a data pre-conditioning scheme that allows splitting up of the large scale inversion problem into many local inversions. In this way, it is expected that the computational limitation and the ill-posedness can be handled by present-day computers. By combining the local inversion results, a global property model of the subsurface is obtained.


73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011 | 2011

Contrast Source Inversion of Blended Data

D. M. Soares Filho; André Bulcão; Gustavo Catão Alves; Luiz Alberto Santos; Túlio do Vale Moreira; P. van den Berg; Dries Gisolf

Full waveform inversion has the potential of playing the central role in seismic imaging in the near future. In fact, its power of providing higher seismic resolution compared to pre-stack depth migration may contribute to seismic interpretation in areas which present high geological complexities. However, its success depends on the design of the seismic experiment. In fact, besides the necessity of a wide spectrum of frequencies, it is required to properly register the scattering wavefields associated to the geological targets. Otherwise, the inversion scheme is not effective. On the other hand, acquiring the scattering wavefields as a whole may be unfeasible using conventional surveys, where consecutive shot records don’t have time superposition. In this work, we abandon this condition, and extend the contrast source inversion method to handle data in which shots are superposed randomly. In our method, the deblending phase is not necessary. Applications on Marmousi model show how efficient, accurate, and stable this method is when compared to results obtained with traditional acquisition approaches. Even in very low signal to noise ratio cases, except for small artifacts, it was possible to recover all features present in the original model.


Seg Technical Program Expanded Abstracts | 2011

Improved RTM depth image with full waveform inversion

André Bulcão; Djalma Manoel Soares Filho; Gustavo Catão Alves; Túlio do Vale Moreira; Peter M. van den Berg; Dries Gisolf


Seg Technical Program Expanded Abstracts | 2011

Towards Broadband Non-linear Full-waveform Inversion With the Help of Shot/receiver Refocussing

Peter Haffinger; Dries Gisolf; Peter M. van den Berg


Seg Technical Program Expanded Abstracts | 2015

Non-Linear Full-Waveform Inversion (FWI-Res) of Time-Lapse Seismic Data on a Higher-Resolution Geological and Petrophysical Model, Book Cliffs (Utah, USA)

Runhai Feng; Stefan M. Luthi; Dries Gisolf; Siddharth Sharma


2007 SEG Annual Meeting | 2007

Application of Neural Networks to Travel-times Computation

Alexey Kononov; Dries Gisolf; Eric Verschuur

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Stefan M. Luthi

Delft University of Technology

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Peter M. van den Berg

Delft University of Technology

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Runhai Feng

Delft University of Technology

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Peter Haffinger

Delft University of Technology

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Siddharth Sharma

Delft University of Technology

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Alexey Kononov

Delft University of Technology

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Eric Verschuur

Delft University of Technology

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