PATENT CLAIM ANALYSIS

Application Number: 16291880
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-06
Patent Classification: ["367", "081000"]

Abstract:
A geologic survey system includes a plurality of acoustic sources spaced at intervals over a target area of a terranean surface. Each of the plurality of acoustic sensors is configured to generate a seismic energy wave. The system also includes a plurality of acoustic sensors positioned in a plurality of boreholes formed in a geologic formation, where the boreholes have a depth sufficient to reach a geologic datum. The system also includes a control system communicably coupled to the plurality of acoustic sensors and configured to perform operations including receiving, from the plurality of acoustic sensors, data associated with reflected acoustic signals generated by the plurality of acoustic sources and received by the plurality of acoustic sensors; determining, based on the received data, a subsurface topology of the geologic formation; and generating a subsurface model of the geologic formation based on the determined subsurface topology.

Claim (Index 22):
The computer-implemented method of  claim 21 , wherein processing the data associated with reflected acoustic signals in the depth imaging model comprises:\n performing an up-down separation of the noise attenuated estimated static corrections of the data associated with reflected acoustic signals; generating a near-surface velocity model between the terranean surface and the geologic datum by interpolating measured velocities of the reflected acoustic signals; generating a deep velocity model at a depth below the geologic datum; and pre-stacking depth migration from the terranean surface based on a global velocity model that comprises the near-surface velocity model.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 99.0
- Lexical Diversity: 2.26087
- Patent Class: 367.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15994541', '13759990', '13759986', '13795598', '12621972']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6008749239990219
- 35 USC 102 Novelty (BERT): 0.6683588486625754
- Combined Prediction Score: 0.6076233164653773
- Mean Citation Score: 343.547316
- Max Citation Score: 689.5378400000003
- Similarity Product: 637.5191536441422

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