PATENT CLAIM ANALYSIS

Application Number: 15900679
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["703", "010000"]

Abstract:
A method includes obtaining a plurality of master sensor responses with a master sensor in a set of training fluids and obtaining node sensor responses in the set of training fluids. A linear correlation between a compensated master data set and a node data set is then found for a set of training fluids and generating node sensor responses in a tool parameter space from the compensated master data set on a set of application fluids. A reverse transformation is obtained based on the node sensor responses in a complete set of calibration fluids. The reverse transformation converts each node sensor response from a tool parameter space to the synthetic parameter space, and uses transformed data as inputs of various fluid predictive models to obtain fluid characteristics. The method includes modifying operation parameters of a drilling or a well testing and sampling system according to the fluid characteristics.

Claim (Index 26):
The method of  claim 24 , wherein at least one of the plurality of node sensors comprises an integrated computational element configured to optically interact with the wellbore fluid, the method further comprising finding at least one of a methane concentration, a gas-oil-ratio, an aromatics concentration or a saturates concentration in the wellbore fluid from a parameter in the synthetic parameter space, the parameter associated with a response from the integrated computational element.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 88.0
- Lexical Diversity: 2.26471
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15514469', '15124282', '14436017', '14780780', '15035125']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2205921142845807
- 35 USC 102 Novelty (BERT): 0.4985635678483164
- Combined Prediction Score: 0.2483892596409543
- Mean Citation Score: 205.730766
- Max Citation Score: 233.74742
- Similarity Product: 178.52566872334003

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

Dataset: test