PATENT CLAIM ANALYSIS

Application Number: 16326965
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-07
Patent Classification: ["073", "03200A"]

Abstract:
Methods for determining a density of a fluid are provided. The method can include passing the fluid through a conduit, measuring a vibration of the conduit by distributed acoustic sensing via a fiber optic cable coupled to the conduit, and generating a vibrational signal indicative of the measured vibration. At least a portion of the vibration of the conduit can be produced by the fluid passing therethrough. The method can also include measuring a temperature of the conduit and generating a temperature signal indicative of the temperature. The method can further include calculating the density of the fluid passing through the conduit by using the vibrational signal and the temperature signal.

Claim (Index 1):
A method for determining a density of a fluid, comprising:\n flowing the fluid through a conduit, wherein the fluid comprises a plurality of particles disposed in a liquid, a gas, or a mixture thereof; measuring a vibration of the conduit by distributed acoustic sensing via a fiber optic cable coupled to the conduit and generating a vibrational signal indicative of the vibration, wherein at least a portion of the vibration of the conduit is produced by the fluid passing through the conduit; measuring a temperature of the conduit and generating a temperature signal indicative of the temperature; and calculating the density of the fluid passing through the conduit by using the vibrational signal and the temperature signal.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 99.0
- Lexical Diversity: 2.45833
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13320311', '11674610', '15316966', '11674589', '10342052']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6984626274478708
- 35 USC 102 Novelty (BERT): 0.4533143230749966
- Combined Prediction Score: 0.6739477970105834
- Mean Citation Score: 120.14869
- Max Citation Score: 126.37086
- Similarity Product: 97.00284457800508

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test