Petroleum exploration and prediction apparatus and method

• US 6,745,156 B2
• Filed: 02/11/2003
• Issued: 06/01/2004
• Est. Priority Date: 04/24/1997
• Status: Expired due to Fees

• Current Assignee: Bright Ideas Company Incorporated
• Original Assignee: Bright Ideas Company Incorporated
• Inventors: Cook, Daniel Reed
• Primary Examiner(s): Wachsman, Hal D
• Application Number:
  US10/364,785
• Publication Number:
  US 20030149678A1
• Time in Patent Office: 476 Days
• Field of Search: 702/189, 702/19, 702/32, 702/57, 702/66, 702/67, 702/69-71, 702/73, 702/74, 702/78, 702/79, 702/124-126, 702/176-178, 702/179, 702/181, 702/183, 702/187, 702/FOR.103, 702/FOR.104, 702/FOR.110, 702/FOR.134, 702/FOR.139, 702/FOR.154, 702/FOR.170, 702/FOR.171, 702/1, 702/2, 702/6, 702/11-14, 702/16, 702/FOR.100, 702/FOR.112, 706/52, 706/20, 706/2, 706/12, 706/16, 706/18, 706/25, 706/92, 600/407, 600/408, 382/159, 340/853.1, 340/853.2, 340/583.9, 367/14, 367/21, 367/33, 367/34, 367/38, 367/73
• US Class Current: 702/189
• CPC Class Codes: A61B 5/245 specially adapted for magnetoencephalographic [MEG] signals
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/407 Evaluating the spinal cord A61B5/4896 takes precedence
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G01V 1/282 Application of seismic models, synthetic seismograms
• CPC Class Codes: G01V 1/30 Analysis G01V1/50 takes precedence
• CPC Class Codes: G06F 18/40 Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A signal interpretation engine apparatus and method are disclosed as including a computer programmed to run a feature expansion module, a weight table module, a consolidation module, and a map generation module. The feature expansion module contains feature operators for operating on a signal to expand the signal to form a feature map of feature segments. Each feature segment corresponds to a unique representation of the signal created by a feature operator from the signal across an epoch. An epoch corresponds to an event within a time segment. A consolidation module applies aggregators to consolidate the inner products or superposition segments into a distribution function representing an attribute over a domain reflecting a selected weight table, aggregator, and event type, corresponding to each value of the attribute.

Claims

1. A method comprising:

recording a first signal corresponding to a first wave response from a first object having a first status,

providing a first record to store information corresponding to the first signal and the first status;

recording a second signal corresponding to a second wave response from a second object having a second status distinct from the first status;

providing a second record to store information corresponding to the second signal and the second status;

providing a plurality of feature operators, each feature operator thereof comprising a mathematical manipulation to operate on a time segment of interest from either the first record or the second record to provide a feature segment;

processing the first and second records using the plurality of feature operators to produce a plurality of feature segments; and

selecting at least one feature operator from the plurality of feature operators that produces at least one feature segment from the plurality of feature segments having an attribute corresponding exclusively to one of the first record and second record.

2. The method of claim 1, further comprising comparing a plurality of feature segments until identifying the at least one feature operator effective to distinguish the first status from the second status.

3. The method of claim 2, wherein the first object is a first geological formation.

4. The method of claim 3, wherein the second object is a second geological formation.

5. The method of claim 4, wherein the first status is the presence of an oil deposit.

6. The method of claim 5, wherein the second status is the absence of an oil deposit.

7. The method of claim 6, further comprising recording a third signal corresponding to a third wave response from a third geological formation having a third status;

providing a third record storing information corresponding to the third signal;

processing the third record using the at least one feature operator to provide an output; and

comparing the output to the at least one feature segment to classify the third status as one of the first status and second status.

8. The method of claim 6, further comprising providing a signal interpretation map reflecting the at least one feature operator.

9. The method of claim 8, wherein providing a signal interpretation map further comprises providing weights corresponding to each of the at least one feature operator.

10. The method of claim 9, further comprising:

recording a third signal corresponding to a wave response from a third geological formation to provide a third record; and

classifying the third geological formation as having exclusively the first status or the second status, based on application of the signal interpretation map to the third record.

11. The method of claim 9, further comprising processing a third record using the signal interpretation map to classify the third record as corresponding to one of the first status and the second status.

12. The method of claim 9, wherein processing further comprises collapsing each feature segment to a numerical value.

13. The method of claim 12, wherein processing further comprises classifying each numerical value in accordance with the correspondence thereof to the first record and the second record.

14. The method of claim 13, wherein processing further comprises comparing each numerical value corresponding to the first record against each numerical value corresponding to the second record and selecting a threshold value effective to optimally divide numerical values corresponding to the first record from numerical values corresponding to the second record.

15. The method of claim 1, further comprising selecting a set of feature operators from the plurality of feature operators by processing the first and second records using the set of feature operator to produce the at least one feature segment having an attribute corresponding exclusively to one of the first record and second record.

16. The method of claim 15, further comprising:

recording a third signal corresponding to a third wave response from a third object having a third status;

providing a third record corresponding to the third signal;

processing the third record using the set of feature operators to provide an output; and

comparing the output to the at least one feature segment to classify the third status as one of the first status and second status.

17. A method for oil exploration and prediction, the method comprising:

recording a first signal corresponding to a first wave response from a first geological formation having a first status as an oil deposit;

providing a first record to store information corresponding to the first signal and the first status;

recording a second signal corresponding to a second wave response from a second geological formation having a second status distinct from the first status;

providing a second record to store information corresponding to the second signal and the second status;

providing a plurality of feature operators, each feature operator thereof comprising a mathematical manipulation to operate on time segments of the first record to generate a first set of feature segments and on time segments of the second record to generate a second set of feature segments; and

selecting at least one feature operator from the plurality of feature operators by processing the first and second records using the at least one feature operator to produce pattern distinctions between the first set of feature segments and the second set of feature segments.

18. The method of claim 17, further comprising recording a third signal corresponding to a third wave response from a third geological formation having a third status;

providing a third record storing information corresponding to the third signal;

processing the third record using the at least one feature operator to provide a third set of feature segments; and

comparing the third set of feature segments to the first and second sets of feature segments to classify the third status as one of the first status and second status.

19. A method for predicting the presence of an underground oil reserve, the method comprising

providing a signal interpretation map containing at least one feature operator comprising a mathematical manipulation operating on a time segment of wave response data from a geological formation to produce at least one first feature segment having a first attribute corresponding exclusive to a first status of the geological formation or a second attribute corresponding exclusively to a second status of the geological formation;

recording a signal corresponding to a wave response from a test geological formation;

providing a record to store information corresponding to the signal;

processing the record with the signal interpretation map to form a plurality of second feature segments; and

comparing the plurality of second feature segments to the first and second attributes to determine the correspondence of the test geological formation to one of the first and second status.

20. The method of claim 19, wherein the first status corresponds to an affirmative oil recovery status and the second status corresponds to a negative oil recovery status.