PATENT CLAIM ANALYSIS

Application Number: 16012917
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["324", "326000"]

Abstract:
Example computer-implemented methods, computer-readable media, and computer systems are described for accurate localization of wireless sensor devices in underground oil reservoirs. In some aspects, every sensor measures respective received magnetic field strengths (RMFSs) on a plurality of respective magnetic induction (MI) links and transmits the measured respective RMFSs to at least one anchor devices. A set of distances is determined from the measured respective RMFSs. The set of distances is processed through an ordered sequence of algorithms, namely weighted maximum likelihood estimation (WMLE), semi-definite programming (SDP) relaxation, alternating direction augmented Lagrangian method (ADM), and conjugate gradient algorithm (CGA), to generate accurate localization of the wireless sensor devices in underground oil reservoirs.

Claim (Index 32):
The method of  claim 27 , wherein determining the set of sensor locations includes:\n establishing an MI-based localization framework by first applying a weighted maximum likelihood estimation (WMLE) and then applying a semi-definite programming (SDP) relaxation to the determined set of distances and the known locations of the at least two anchor devices; determining a second set of sensor locations based on the established MI-based localization framework, wherein the determined second set of sensor locations represents a second estimate of locations of the respective sensor locations within the hydrocarbon reservoir; and determining the set of sensor locations based on the determined second set of sensor locations.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 94.0
- Lexical Diversity: 1.60714
- Patent Class: 324.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15486754', '15685238', '15370740', '13108918', '11425699']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5861334638729785
- 35 USC 102 Novelty (BERT): 0.6125519014989598
- Combined Prediction Score: 0.5887753076355766
- Mean Citation Score: 368.3704320000001
- Max Citation Score: 612.2687400000002
- Similarity Product: 475.1347159492923

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