PATENT CLAIM ANALYSIS

Application Number: 16382769
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["702", "017000"]

Abstract:
Aspects of the disclosure provide a method for processing three-dimensional (3D) hexagonally sampled seismic data. The method can include receiving 3D hexagonally sampled seismic data represented using 3D spiral architecture (SA), the 3D hexagonally sampled seismic data including a plurality of data traces each corresponding to center of a hexagon in the 3D SA, representing the 3D hexagonally sampled seismic data as two-dimensional (2D) seismic data using spiral architecture (SA) addressing scheme, and processing the 2D seismic data with an SA based signal processing process.

Claim (Index 8):
The method of  claim 1 , wherein processing the 2D seismic data with an SA based signal processing process includes performing an edge preserving smoothing process that comprises:\n selecting a data sample from an image of subsurface generated from the 2D seismic data; identifying a most homogenous neighborhood from neighborhoods defined based on SA around the selected data sample through a process including:\n selecting a plurality of neighborhoods defined based on SA around the selected data sample, \n calculating a standard deviation of data samples within each of the plurality of neighborhoods, and \n identifying the most homogeneous neighborhood as the one of the plurality of neighborhoods having the lease standard deviation; \n calculating an average of data samples in the most homogenous neighborhood; and replacing value of the selected data sample with the calculated average.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 100.0
- Lexical Diversity: 2.0
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15149702', '16382815', '14358724', '13127145', '10585291']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2370253764581807
- 35 USC 102 Novelty (BERT): 0.5984432600623891
- Combined Prediction Score: 0.2731671648186016
- Mean Citation Score: 315.198346
- Max Citation Score: 510.96283
- Similarity Product: 498.4826694967675

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test