Technical Library

  • FWI for model updates in large-contrast media

    Author: Sverre Brandsberg-Dahl, Nizar Chemingui, Alejandro Valenciano, Jaime Ramos-Martinez, Lingyun Qiu
    The Leading Edge - 1 January 2017

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    We describe a new solution for recovering the long-wavelength features of a velocity model in gradient-based full-waveform inversion (FWI). The method uses reflected and transmitted wave modes to recover high-resolution velocity models. The new FWI gradient enables reliable velocity updates deeper than the maximum penetration depth of diving waves and reduces the FWIdependency on recording ultralong offsets. We also discuss a new FWI regularization scheme that overcomes the limitations of the inversion in the presence of high-contrast geobodies and cycle skipping. The solution utilizes a priori information about the earth model in the regularization as an extra term in the objective function. The implementation makes use of the split Bregman method, making it efficient and accurate. Results from applying the new FWI gradient to field data show that we can combine both transmitted and reflected energy in a global FWI scheme to obtain high-resolution velocity models without imprint of the reflectivity on the velocity updates. We illustrate the new regularization method's potential on the BP 2004 velocity benchmark model where our regularized FWI solution is capable of using a simple starting velocity model to deliver a high-quality reconstruction of salt bodies.

  • New technique corrects distortions

    Author: Volker Dirks, Senira Kattah
    Hart E&P - 1 November 2016

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    WEI leads to improved amplitude fidelity and image resolution in the Jequitinhonha Basin offshore Brazil.

  • Post-migration image optimization: a Gulf of Mexico case study

    Author: Sergey Frolov, Samuel Brown, Sriram Arasanipalai, Nizar Chemingui
    SEG - 1 October 2016

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    There are many factors which affect the quality of a subsurface image: acquisition geometry, data quality, accuracy of the subsurface model, imaging algorithm, image post-processing steps, etc. Despite improvements in seismic acquisition, such as full azimuth (FAZ) surveys, and advanced imaging algorithms such as reverse time migration (RTM), focusing energy beneath a complex salt overburden remains a challenging problem. We propose a post-imaging workflow to mitigate migration artefacts, limited illumination problems, and velocity model inaccuracies that cause image distortion. RTM images derived with an inverse scattering imaging condition are decomposed into angle/azimuth domain gathers. The angles and azimuths which constructively interfere at each image point to produce the best image are chosen so as to remove both coherent and incoherent noise and produce an optimal stack. Finally, structure-conformable filtering is applied. We apply this workflow to an RTM image from Garden Banks in the Gulf of Mexico .

  • Adaptive multiple subtraction by statistical curvelet matching

    Author: Truong Nguyen, Richard Dyer
    SEG - 1 October 2016

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    In this paper, we present a novel algorithm that performs adaptive subtraction of a multiple model in the curvelet domain. The algorithm is based on the observation that the predicted model is an imperfect estimate of the actual multiples, containing two types of error: 1. a systematic error that manifests as an approximately constant phase and amplitude error within each subband and 2. a localized error that potentially varies from coefficient to coefficient. Adaptation of the model is automatically controlled by parameters provided by a statistical modelling step. Results show that the algorithm works well with different types of multiples and levels of noise.

  • Imaging the total wavefields by reflectivity inversion using amplitude-normalized wavefield decomposition: field data example

    Author: Alba Ordoñez, University of Oslo, Walter Söllner, Tilman Klüver
    SEG - 1 October 2016

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    Based on an example acquired with dual-sensor towed-streamers and time and depth distributed sources, we image the total upand downgoing wavefields using primaries and multiples. The imaging framework is based on computing the subsurface impulse response (i.e., reflectivity). At every depth level, the latter can be obtained by inverting the matrix form of an integral equation defined in terms of the amplitude-normalized upgoing pressure and downgoing vertical velocity wavefields. This procedure gives the reflectivity matrix. The total upgoing wavefield used in the imaging scheme is composed of the scattered energy from primaries and multiples. The primary reflected wavefield is generated by a direct downgoing source wavefield, which is mostly passing the acquisition surface at offsets smaller than the nearest data channel. Hence, the most relevant part of the direct wavefield is not measured in the studied example. From the near-field pressure measurements, we predict the missing direct arrivals needed to image the primary reflected wavefield; and we then synthesize the total downgoing wavefield by adding the downgoing scattered energy. By downward extrapolating the total up- and downgoing wavefields, the information of the subsurface is extracted from the reflectivity matrix in the spatial and angular domains.

  • A robust FWI gradient for high-resolution velocity model building

    Author: Jaime Ramos-Martinez, Sean Crawley, Zuihong Zou, Alejandro Valenciano, Elena Klochikhina, Nizar Chemingui
    SEG - 1 October 2016

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    We describe a robust method to produce long-wavelength updates in gradient-based Full Waveform Inversion (FWI). The gradient is computed by applying dynamic weights in the velocity sensitivity kernel derived from impedance and velocity parameterization of the classical objective function. The new kernel implementation effectively eliminates the migration isochrones produced by the specular reflections and emphasizes the low-wavenumber components in the gradient in heterogeneous media. The new gradient is able to provide velocity updates beyond penetration depth of diving waves. We use a synthetic example to illustrate how this dynamically weighted FWI gradient successfully recovers the background velocity from pre-critical reflections. We apply the new approach to 2D and 3D dual sensor data from deep-water Gulf of Mexico. Results show how the dynamically weighted FWI gradient can combine both transmitted and reflected energy in a global FWI scheme and provide high-resolution velocity models without migration imprint in the updates.

  • Quantification of the Resolution in the Inversion results from Towed Streamer EM Data

    Author: Joel Skogman, Johan Mattsson,
    SEG - 1 October 2016

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    The resolution of resistivity models from 3D inversion of Towed Streamer EM data is analyzed using the resolution matrix. In particular, a new resolution length derived from the resolution matrix is introduced. This measure is obtained by dividing the volume of an inversion cell with the corresponding diagonal element in the resolution matrix. Hence, the measure is independent on the actual cell discretization of the inversion domain. Resolution lengths are calculated both for a hypothetical case with noise free data and for resistivity sections obtained with regularized 3D inversion. The resolution of the ideal case with no noise constitutes the upper limit of the best possible resolving power of the Towed Streamer EM data. This limit is then compared against the results where smoothing regularization has been applied in the 3D inversion. A comparison is illustrated for inversion results of Towed Steamer EM data from a survey line in the Barents Sea.

  • Sparsity Promoting Morphological Decomposition for Coherent Noise Suppression: Application to Streamer Vibration Related Noise

    Author: Pierre Turquais, Endrias Asgedom, Walter Söllner
    SEG - 1 October 2016

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    We address the signal and noise separation problem where the noise is coherent. We use a dictionary learning method to learn a dictionary of unit vectors called atoms; each one representing an elementary waveform redundant in the noisy data. In such a learned dictionary, some atoms represent signal waveforms while others represent noise waveforms. Using a multivariate Gaussian classifier trained on a noise recording, the atoms representing noise waveforms are discriminated and separated from the atoms representing seismic waveforms and two subdictionaries are created; one describing the morphology of the signal, the other describing the morphology of the noise. Using these sub-dictionaries, a morphological component analysis problem is set to separate the seismic signal and the coherent noise. In contrast to fixing transforms for representing the noise and the signal, our method is entirely adapting to the morphology of the signal and the noise. We present an application for removing streamer vibration related noise and show successful denoising results on synthetic and field data examples.

  • Extending the 3D primary image with multiples and mirrors

    Author: Dan Whitmore
    SEG - 1 October 2016

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    This presentation reviews imaging technologies applied to both primaries and multiples, with particular emphasis on the value of multiples in wide azimuth scenarios. Included is a discussion of imaging principles, extraction of offset and angle dependent measurements, and mitigation of crosstalk. Whether multiples are considered as a replacement for unrecorded primaries, or complementary (or redundant) measurements to primaries, a more complete image of the subsurface can be produced by including both primaries and multiples in the imaging process. In some cases, the multiples image is superior to the primaries. Examples show the additional value multiples contribute in 3D wide azimuth scenarios: multi-streamer surface acquisition, ocean bottom seismic and 3D VSP’s. Included is a prognosis for future - including advances in imaging methods and the trade-offs of acquisition sampling (cost) and image quality.

  • New Lower Tertiary play trend identified in the West Orphan Basin, Offshore Newfoundland

    Author: Richard Wright, James Carter, Ian Atkinson, Erin Gillis, Deric Cameron, Leona Stead, Tom Neugebauer, Jerry Witney, Daniel Hughes, Michael Hall
    SEG - 1 October 2016

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    Over the past five years, extensive 2D long offset broadband seismic data (110,000 line km) has been acquired offshore Newfoundland and Labrador, Canada. These new seismic programs have targeted the underexplored slope and deepwater areas of the province’s offshore and were planned using potential fields and satellite seep data. In the West Orphan Basin portion of the program, a new Lower Tertiary fan and turbidite play trend has now been identified. This newly identified play trend is characterized by Class II AVO signatures and was not visible in legacy short cable seismic data. To further delineate this area, a 3D long offset broadband seismic survey was acquired over a part of this play trend in the summer of 2015 and the early data from the new 3D has provided enhanced definition of the depositional setting and sediment pathways, provided evidence of potential hydrocarbon sourcing and migration, and has imaged material sized prospects.