Seismic data acquisition system comprising modules associated with units connected to sensors, the modules being autonomous with respect to power supply, synchronisation and storage
US-2015378038-A1 · Dec 31, 2015 · US
US9602781B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9602781-B2 |
| Application number | US-201214112502-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 21, 2012 |
| Priority date | Apr 18, 2011 |
| Publication date | Mar 21, 2017 |
| Grant date | Mar 21, 2017 |
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A system and methods to deblend seismic data from a plurality of sources and received by a plurality of sensors as shot gathers are disclosed. The deblending is performed by a Mutual Interdependence Analysis Method to separate contributions of different shots. Deblending is also performed by applying a measure of coherence in parallel data domains such as Common Shot Gather and Common Midpoint. Deblending is also achieved by using the hyperbolic nature of seismic data in the common midpoint domain. Deblended signals are estimated and are applied to create a seismic image. Also, Bergman iteration based migration is applied directly on the blended seismic shot gathers without first deblending as an alternative method. The methods are applied in seismic imaging for exploration of natural resources.
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The invention claimed is: 1. A method for deblending seismic data, the method comprising: acquiring, with a processor, blended seismic data in a plurality of recordings from a plurality of sensors, each sensor of the plurality of sensors generating a plurality of blended signals generated by a plurality of semi-simultaneously fired sources, wherein each source of the plurality of semi-simultaneously fired sources is fired more than once; selecting, with the processor, a first source from the plurality of semi-simultaneously fired sources and a plurality of blended signals received by a first sensor; arranging, with the processor, recordings of the plurality of blended signals received by the first sensor to align with a timing of the first source; and applying, with the processor, Mutual Interdependence Analysis (MIA) to estimate from at least two aligned blended signals a deblended signal received at the first sensor and attributed to the first source. 2. The method of claim 1 , further comprising: arranging recordings of a plurality of blended signals acquired by a second sensor to align with the timing of the first source. 3. The method of claim 2 , further comprising: arranging recordings of the plurality of blended signals received by the first sensor to align with a timing of a second source. 4. The method of claim 1 , further comprising: generating a seismic image based on the estimated deblended signal. 5. The method of claim 1 , wherein the method is applied in oil exploration. 6. The method of claim 1 , wherein the method is applied in gas exploration. 7. The method of claim 1 , wherein applying Mutual Interdependence Analysis comprises evaluating an expression: s ^ n , m = X m · ( X m T · X m ) - 1 · r n , m , with X m = ⌊ x 1 , m , x 2 , m , … , x E , m ⌋ and r n , m ( e ) = { 1 if x m = ∑ i = 1 N α i · s i and α n = 1 0 else wherein ŝ n,m is estimated deblended data from source n at sensor m, X m is a collection of recordings at sensor m from all experiments, r n,m (e) is a vector that indicates which of the experiments contain an aligned target source e, n indicates a source, m indicates a sensor, α i is a weight of a single shot recording i in a recording of the currently analyzed sensor x m , and s i is a single shot recordings of shot locations i. 8. A method for deblending blended seismic data, the method comprising: acquiring, with a processor, blended seismic data in a plurality of recordings from a plurality of sensors, each sensor of the plurality of sensors receiving a blended signal generated by at least a first semi-simultaneous source and a second semi-simultaneous source and the processor recording a plurality of datapoints, each datapoint of the plurality of datapoints being associated with a respective sensor of the plur
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