Flattening without picking

Lomask, Jesse; Guitton, Antoine; Fomel, Sergey; Claerbout, Jon F.; Valenciano, A.

doi:10.1190/1.2210848

Cited by 117 publications

(58 citation statements)

References 15 publications

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“…The general idea in this case would be to first match well logs with the seismic image one by one using any single well-seismic tying method Cheverry et al, 2015;Muñoz and Hale, 2015). These well logs could then be laterally correlated by the large-scale structure trend computed via seismic image flattening (Lomask et al, 2006;Fomel, 2010;Hale, 2015a, 2015b).…”

Section: Discussionmentioning

confidence: 99%

“…However, our correlation of seismic traces and synthetic traces would likely yield inaccurate results in these cases. To improve seismic trace correlation, an alternative strategy could then be used to better exploit imaging information by flattening the whole seismic image (Lomask et al, 2006;Fomel, 2010;Wu and Zhong, 2012;Wu and Hale, 2015a, 2015b, instead of flattening only the seismograms extracted at well locations. To improve well correlations, one could also replace our DTW-based synthetic trace correlation by expert-based manual correlation or correlation using various logs or rules (Lallier et al, , 2016.…”

Section: Discussionmentioning

confidence: 99%

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Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Caumon²

2016

SEG Technical Program Expanded Abstracts 2016

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Well-seismic ties allow rock properties measured at well locations to be compared with seismic data and are therefore useful for seismic interpretation. Numerous methods have been proposed to compute well-seismic ties by correlating real seismograms with synthetic seismograms computed from velocity and density logs. However, most methods tie multiple wells to seismic data one by one; hence, they do not guarantee lateral consistency among multiple well ties. We therefore propose a method to simultaneously tie multiple wells to seismic data. In this method, we first flatten synthetic and corresponding real seismograms so that all seismic reflectors are horizontally aligned. By doing this, we turn multiple wellseismic tying into a 1D correlation problem. We then compute only vertically variant but laterally constant shifts to correlate these horizontally aligned (flattened) synthetic and real seismograms. This two-step correlation method maintains lateral consistency among multiple well ties by computing a laterally and vertically optimized correlation of all synthetic and real seismograms. We applied our method to a 3D real seismic image with multiple wells and obtained laterally consistent well-seismic ties.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Caumon²

2016

SEG Technical Program Expanded Abstracts 2016

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“…The displacement field holds information about depth-shift of each layer to perform flattening in respect to an invariant point called reference as illustrated on figure 2. From an optimal equation, Lomask et al [4], after pioneering works developed by Bienati et al [5], proposed an implementation based on a global technique using a Gauss-Newton algorithm. They proposed to use a vertical reference line to flatten the whole image.…”

Section: Introductionmentioning

confidence: 99%

“…The general objective of these tools is to find the geological patterns, extract them and understand their relationships for gaining insights into the sedimentary environment. In the image processing framework for seismic imaging, recent works ( [1], [2], [3], [4], [5], [6]) are dedicated to identifying layers, determining the object boundaries and ordering them according to their relative geological age. The main purpose is to transform the vertical axis of seismic data t w which originally represent seismic wave propagation time, into approximate geologic time t g (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

A robust framework for GeoTime cube

Toujas

Donias

Jeantet

et al. 2008

2008 15th IEEE International Conference on Image Processing

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This paper presents a robust unsupervised framework for 3D seismic data flattening. The resulting volume, called GeoTime cube, brings to light history of sedimentary deposits which is a key issue in petroleum prospecting. The proposed method makes it possible to obtain the transformation by transcribing fundamental principles of geophysics in image processing. The first step is a sedimentary layer reconstruction, the second one consists in numbering them according to their relative geological age and the last one computes a transformation in order to clearly represent them in a flattened way. Finally, the results obtained by our method compared to an existing one show that many relevant information can be extracted from GeoTime cubes and the final flattened data enhances the seismic structures identification.

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“…Panel c) of Figure 2 motivates the problem; starting at τ (y 0 ), the subsea reflector must be followed to y = y 0 + (x − x p )/2. My approach to the problem is similar to Lomask and Claerbout's (2002) algorithm for automatically flattening seismic data. It requires a smooth, unambiguous estimate of reflector dip.…”

Section: Practical Implementation Of the Hemno Equationmentioning

confidence: 99%

Least-squares joint imaging of multiples and primaries

Brown

Guitton

2005

GEOPHYSICS

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INTRODUCTIONMy Least-squares Joint Imaging of Multiples and Primaries (LSJIMP) algorithm (Brown, 2003b) separates pegleg multiples and primaries. LSJIMP computes separate images of the peglegs and primaries, and then uses the mutual consistency of the images to discriminate against unwanted noise types in each image. The images must be consistent in two respects: kinematics and amplitudes. A companion paper (Brown, 2003a) paper addresses the amplitude issue. In this paper, I address the kinematics. Kinematically, the events must be correctly positioned in time and flat with offset. To this end, I derive new time imaging operator, "HEMNO" (Heterogeneous Earth Multiple NMO Operator).To correctly image primary or multiple reflections in a heterogeneous earth, migration reigns supreme, although its computational cost may be nontrivial over complex geology, in 3-D, or when a "true amplitude" image is required. My previously presented (Brown, 2002a) joint imaging technique used normal moveout (NMO), because of NMO's speed and its amplitude predictability, despite its inability to account for nonflat geology. HEMNO correctly accounts for moderate subsurface structure but retains the speed and amplitude advantages of NMO. I show that the 2-D and 3-D pegleg moveout equations for two dipping planes derived by Levin and Shah (1977) and Ross et al. (1999), respectively, reduce to HEMNO in the small dip angle limit.When used in conjunction with LSJIMP, I show that HEMNO produces improved results on the moderately complex Mississippi Canyon 2-D multiples test dataset, relative to a flatearth NMO operator. Nevertheless, the real value of HEMNO lies in 3-D. Guitton (2003) demonstrates that the "Delft method" (Verschuur et al., 1992) (plus advanced multiple subtraction technology), almost perfectly separates surface-related multiples from 2-D data with complex 2-D structure. However, in real-world 3-D situations, acquisition and computational constraints diminish the method's applicability. I demonstrate that in a simple, yet realistic, 3-D synthetic example that HEMNO can accurately image pegleg multiples from a seabed that dips in both directions. In the future, HEMNO should prove a useful advance in 3-D multiple separation. S201G S102GA first-order pegleg multiple consists of two unique arrivals: the event with a multiple bounce over the source, and the event with a bounce over the receiver. Figure 1 shows that in a flat earth, both "legs" of a pegleg (denoted S102G and S201G) arrive simultaneously; when the reflector geometry varies with position, they generally do not. In some cases, pegleg multiples are actually observed to "split", though humans rarely observe the phenomenon unambiguously in field data, unless the reflector geometry is uniformly dipping over a large distance (see (Morley, 1982), for a good example).The practical non-observation of split peglegs notwithstanding, geologic heterogeneity is a first-order effect in the accurate modeling of their kinematic and amplitude behavior. Mild variations in reflector d...

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Flattening without picking

Cited by 117 publications

References 15 publications

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

A robust framework for GeoTime cube

Least-squares joint imaging of multiples and primaries

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