Methods of evaluating rock properties while drilling using downhole acoustic sensors and telemetry system

• US 9,624,768 B2
• Filed: 07/20/2012
• Issued: 04/18/2017
• Est. Priority Date: 09/26/2011
• Status: Active Grant

• Current Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Original Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Inventors: Yang, Yunlai
• Primary Examiner(s): Breene, John
• Assistant Examiner(s): Nimox, Raymond
• Application Number:
  US13/553,958
• Publication Number:
  US 20130075159A1
• Time in Patent Office: 1,733 Days
• Field of Search: 702 11
• CPC Class Codes: E21B 49/00 Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells

Abstract

Methods of identifying rock properties in real-time during drilling, are provided. An example of method includes connecting a downhole sensor subassembly between a drill bit and a drill string, operably coupling acoustic sensors to a downhole processor, operably coupling a borehole telemetry system, downhole and surface data transmitting interfaces, and a surface computer to the downhole data transmitting interface. The method also includes receiving raw acoustic sensor data resulting from rotational contact of the drill bit with rock by the downhole processor, transforming the raw acoustic sensor data into the frequency domain, filtering the transformed data, and deriving acoustic characteristics from the filtered data. The method also includes the surface computer receiving the acoustic characteristics and deriving petrophysical properties from the acoustic characteristics directly or by utilizing a petrophysical properties evaluation algorithm.

Claims

1. A method of determining properties of rock in a formation in real-time during drilling, the method comprising the steps of:

receiving raw acoustic sensor data from one or more acoustic sensors by a downhole processor assembly, the one or more acoustic sensors carried by a downhole sensor subassembly positioned adjacent a drill bit and between a drill string and the drill bit, the downhole processor assembly positioned in close proximity to the one or more acoustic sensors and operably coupled thereto, the raw acoustic sensor data representing an acoustic signal generated real-time as a result of rotational contact of a drill bit with rock during drilling; and

processing the raw acoustic sensor data by the downhole processor assembly, the processing including deriving a plurality of acoustic characteristics associated with the rock from the raw acoustic sensor data, the plurality of acoustics characteristics including mean frequency and normalized deviation of frequency;

transmitting the plurality of acoustic characteristics to a surface computer over a borehole telemetry system, wherein the surface computer is configured to output a plot of at least one of the plurality of acoustic characteristics versus depth;

performing one or more of the following processing steps at the surface computer;

identifying lithology type of rock being encountered by the drill bit utilizing one or more of the following sets of acoustic characteristics of the plurality of acoustic characteristics;

the mean frequency and the normalized deviation of frequency, the mean frequency and mean amplitude, the mean frequency, the mean amplitude, the normalized deviation of frequency, normalized deviation of amplitude, and apparent power, and

deriving petrophysical properties of rock being encountered by the drill bit utilizing a petrophysical properties evaluation algorithm employable to evaluate one or more petrophysical properties of rock undergoing drilling utilizing one or more of the plurality of acoustic characteristics.

2. A method as defined in claim 1, wherein the step of processing the raw acoustic sensor data includes:

sending sampling commands to a data acquisition unit in communication with the one or more acoustic sensors;

converting analog acoustic signals into digitized data through employment of the data acquisition unit;

transforming the digitized data into Fast Fourier Transform data using a Fast Fourier transformation;

filtering the Fast Fourier Transform data; and

deriving the acoustic characteristics from the filtered Fast Fourier Transform data.

3. A method as defined in claim 1, further comprising the steps of:

receiving by a surface computer, acoustic characteristics data transmitted from the downhole processor assembly, the acoustic characteristics data providing the acoustic characteristics of the acoustic signal.

4. A method of determining properties of rock in a formation in real-time during drilling, the method comprising the steps of:

receiving, over a borehole telemetry system, acoustic characteristics data from a downhole processor assembly by a surface computer, the acoustic characteristics data providing one or more acoustic characteristics derived from acoustic signals, at the downhole processor, provided by one or more acoustic sensors positioned adjacent to a drill bit and generated in real-time as a result of rotational contact of the drill bit with rock during drilling, wherein the one or more acoustic characteristics comprise a plurality of acoustic characteristics including mean frequency and normalized deviation of frequency;

outputting a plot, at the surface computer, of at least one of the plurality of acoustic characteristics versus depth; and

performing one or more of the following processing steps, at the surface computer, using the acoustic characteristics data;

identifying the lithology type of rock being encountered by the drill bit utilizing the mean frequency and the normalized deviation of frequency evaluated from the acoustic signal, and

deriving petrophysical properties of rock being encountered by the drill bit utilizing a petrophysical properties evaluation algorithm employable to predict one or more petrophysical properties of rock undergoing drilling utilizing the one or more acoustic characteristics.

5. A method as defined in claim 4, wherein the acoustics characteristics data received by the surface computer is real-time acoustic characteristics data derived by the downhole processor assembly, wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit, and wherein the step of identifying the lithology type includes the steps of:

comparing the received real-time acoustic characteristics data indicating acoustic characteristics of rock being encountered by the drill bit to predetermined acoustic characteristics determined for a plurality of samples; and

identifying the lithology type of the rock being encountered by the drill bit responsive to the step of comparing.

6. A method as defined in claim 4, wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit, and wherein the step of identifying the lithology type includes the steps of:

comparing the mean frequency and the normalized deviation of frequency of the rock undergoing drilling with mean frequency and normalized deviation of frequency of a plurality of rock samples having different lithologies, the mean frequency and normalized deviation of frequency being examined together as part of the step of comparing to thereby determine an amount of correlation of the acoustic characteristics associated with the rock undergoing drilling and the acoustic characteristics associated with the rock samples; and

identifying the lithology type of the rock undergoing drilling responsive to the step of comparing.

7. A method as defined in claim 4, wherein the plurality of acoustic characteristics include mean amplitude, normalized deviation of amplitude, and apparent power, wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit, and wherein the step of identifying the lithology type includes the steps of:

comparing the mean frequency, the normalized deviation of frequency, the mean amplitude, the normalized deviation of amplitude, and the apparent power of the rock undergoing drilling with mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power of a plurality of rock samples having different known lithologies; and

,

identifying the lithology type of the rock undergoing drilling responsive to the step of comparing.

8. A method as defined in claim 4,

wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit;

wherein the step of identifying the lithology type includes the step of comparing the mean frequency and the normalized deviation of frequency of the rock undergoing drilling with mean frequency and normalized deviation of frequency of a plurality of rock samples having different known lithologies; and

wherein the method further comprises the step of determining a formation boundary encountered during drilling responsive to the step of comparing.

9. A method as defined in claim 4,

wherein the plurality of acoustic characteristics include mean amplitude, normalized deviation of amplitude and apparent power;

wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit;

wherein the step of identifying the lithology type includes the step of comparing the mean frequency, the normalized deviation of frequency, the mean amplitude, the normalized deviation of amplitude, and the apparent power of the rock undergoing drilling with mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power of a plurality of rock samples having different known lithologies; and

wherein the method further comprises the step of determining a formation boundary encountered during drilling responsive to the step of comparing.

10. A method as defined in claim 4, further comprising the step of:

determining an optimal location of a casing shoe for a casing associated with the drill string based on real-time detection of changes in the lithology type of the rock being drilled, determined petrophysical properties thereof, or both changes in the lithology type and the determined petrophysical properties; and

wherein the determined petrophysical properties comprise;

lithology type, porosity, and presence of hydrocarbons in rock undergoing drilling when existing and presence of fractures in the rock undergoing drilling when existing.

11. A method as defined in claim 4, wherein the one or more processing steps comprise deriving petrophysical properties of rock being encountered by the drill bit from the acoustic characteristics data utilizing a petrophysical properties evaluation algorithm, wherein the petrophysical properties evaluation algorithm is a bit-specific petrophysical properties evaluation algorithm, the method further comprising the steps of:

collecting petrophysical properties data describing one or more petrophysical properties of rocks for a plurality of rock samples and correspondent acoustic characteristics data for a preselected type of drill bit;

determining one or more relationships between the acoustic characteristics data for the preselected type of drill bit and correspondent one or more petrophysical properties of rock describing petrophysical properties of a plurality of rock samples; and

coding the determined relationships into computer program code defining the bit-specific petrophysical properties evaluation algorithm; and

wherein the step of deriving the petrophysical properties includes employing the derived petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to the acoustics characteristics data produced in response to the drilling.

12. A method as defined in claim 4, wherein the one or more processing steps comprise deriving the petrophysical properties of rock being encountered by the drill bit from the acoustic characteristics data utilizing a bit-independent petrophysical properties evaluation algorithm, and wherein the petrophysical properties evaluation algorithm is a bit-independent petrophysical properties evaluation algorithm, the method further comprising the steps of:

collecting petrophysical properties data describing one or more petrophysical properties of rocks for a plurality of rock samples and correspondent acoustic characteristics data for a plurality of different types of drill bits;

determining one or more relationships between the acoustic characteristics data and correspondent one or more petrophysical properties of the rocks to provide a bit-independent evaluation methodology; and

coding the determined relationships into computer program code defining the bit-independent petrophysical properties evaluation algorithm; and

wherein the step of deriving the petrophysical properties includes employing the derived bit-independent petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to the acoustic characteristics data produced in response to the drilling.

13. A method of analyzing properties of rock in a formation in real-time during drilling, the method comprising the steps of:

providing a downhole sensor subassembly, a downhole processor assembly, a downhole data transmitting interface, a surface data transmitting interface, a borehole telemetry system, and a surface computer;

connecting the downhole sensor subassembly adjacent to a drill bit for drilling rock and between a drill string and the drill bit, the downhole sensor subassembly carrying one or more acoustic sensors positioned to detect drill sounds during drilling operations and the downhole processor assembly;

operably coupling the downhole processor assembly to at least one of the one or more acoustic sensors to receive and process real-time raw acoustic sensor data generated as a result of rotational contact of the drill bit with rocks during operational drilling;

operably coupling the downhole processor assembly to the borehole telemetry system via the downhole data transmitting interface to receive and process acoustic characteristics data generated by the downhole processor assembly;

transmitting the acoustic characteristics from the downhole processor assembly to the surface computer via the borehole telemetry system;

receiving raw acoustic sensor data from the one or more acoustic sensors by the downhole processor assembly, the raw acoustic sensor data representing an acoustic signal generated real-time as a result of rotational contact of the drill bit with rock during drilling;

processing the raw acoustic sensor data by the downhole processor assembly, the step of processing including deriving a plurality of acoustic characteristics from the raw acoustic sensor data, the plurality of acoustics characteristics including mean frequency and normalized deviation of frequency;

receiving at the surface computer, over the borehole telemetry system, acoustic characteristics data from the downhole processor assembly, the acoustic characteristics data providing the plurality of acoustic characteristics; and

performing one or more of the following processing steps at the surface computer;

identifying lithology type of rock being encountered by the drill bit utilizing the mean frequency and the normalized deviation of frequency, and

deriving petrophysical properties of rock being encountered by the drill bit utilizing a petrophysical properties evaluation algorithm employable to predict one or more petrophysical properties of rock undergoing drilling utilizing one or more of the plurality of acoustic characteristics.

14. A method as defined in claim 13,

wherein the plurality of acoustic characteristics further comprise mean amplitude, normalized deviation of amplitude, and apparent power;

and

wherein the step of identifying lithography type of the rock being encountered by the drill bit further includes utilizing one or more of the following sets of acoustic characteristics of the plurality of acoustic characteristics;

the mean frequency and mean amplitude, the mean frequency, the mean amplitude, the normalized deviation of frequency, normalized deviation of amplitude and the apparent power.

15. A method as defined in claim 13, wherein the step of processing the raw acoustic sensor data includes:

sending sampling commands to a data acquisition unit in communication with the one or more acoustic sensors;

converting analog acoustic signals into digitized data through employment of the data acquisition unit;

transforming the digitized data into Fast Fourier Transform data using a Fast Fourier transformation;

filtering the Fast Fourier Transform data; and

deriving the plurality of acoustic characteristics from the filtered Fast Fourier Transform data.

16. A method as defined in claim 13, wherein the acoustics characteristics data received by the surface computer is real-time acoustic characteristics data derived by the downhole processor assembly, wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit, and wherein the step of identifying the lithology type includes the steps of:

comparing the received real-time acoustic characteristics data indicating acoustic characteristics of the rock being encountered by the drill bit to predetermined acoustic characteristics determined for a plurality of rock samples; and

identifying the lithology type of the rock being encountered by the drill bit responsive to the step of comparing.

17. A method as defined in claim 13, wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit, and wherein the step of identifying the lithology type includes the steps of:

comparing the mean frequency and the normalized deviation of frequency of the rock undergoing drilling with mean frequency and normalized deviation of frequency of a plurality of rock samples having different lithologies, the mean frequency and normalized deviation of frequency being examined together as part of the step of comparing to thereby determine an amount of correlation of the acoustic characteristics associated with the rock undergoing drilling and the acoustic characteristics associated with the rock samples; and

identifying the lithology type of the rock undergoing drilling responsive to the step of comparing.

18. A method as defined in claim 13, wherein the plurality of acoustic characteristics further comprise mean amplitude, normalized deviation of amplitude and apparent power, wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit, and wherein the step of identifying the lithology type includes the steps of:

comparing the mean frequency, the normalized deviation of frequency, the mean amplitude, the normalized deviation of amplitude and the apparent power of the rock undergoing drilling with mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power of a plurality of rock samples having different known lithologies; and

identifying lithology type of the rock undergoing drilling responsive to the operation of comparing.

19. A method as defined in claim 13,

wherein the plurality of acoustic characteristics further comprise mean amplitude, normalized deviation of amplitude, and apparent power;

wherein the one or more processing steps comprise identifying the lithology type of rock being encountered by the drill bit;

wherein the step of identifying the lithology type includes the step of comparing the mean frequency, the normalized deviation of frequency, the mean amplitude, the normalized deviation of amplitude, and apparent power of the rock undergoing drilling with mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power of a plurality of rock samples having different known lithologies; and

wherein the method further comprises the step of determining a formation boundary encountered during drilling responsive to the step of comparing.

20. A method as defined in claim 13, further comprising the step of:

determining an optimal location of a casing shoe for a casing associated with the drill string based on real-time detection of changes in the lithology type of the rock being drilled, determined petrophysical properties thereof, or both changes in the lithology type and the determined petrophysical properties.

21. A method as defined in claim 13, wherein the one or more petrophysical properties comprise:

lithology type, porosity, presence of hydrocarbons in rock undergoing drilling when existing and presence of fractures in the rock undergoing drilling when existing.

22. A method as defined in claim 13, wherein the one or more processing steps comprise deriving petrophysical properties of rock being encountered by the drill bit from the acoustic characteristics data utilizing a petrophysical properties evaluation algorithm, wherein the petrophysical properties evaluation algorithm is a bit-specific petrophysical properties evaluation algorithm, the method further comprising the steps of:

collecting petrophysical properties data describing one or more petrophysical properties of rocks for a plurality of rock samples and correspondent acoustic characteristics data for a preselected type of drill bit;

determining one or more relationships between the acoustic characteristics data for the preselected type of drill bit and correspondent one or more petrophysical properties of rocks describing petrophysical properties of a plurality of rock samples; and

coding the determined relationships into computer program code defining the bit-specific petrophysical properties evaluation algorithm; and

wherein the step of deriving the petrophysical properties includes employing the derived bit-specific petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to acoustics characteristics data produced in response to the drilling.

23. A method as defined in claim 13, wherein the one or more processing steps comprise deriving the petrophysical properties of rock being encountered by the drill bit from the acoustic characteristics data utilizing a petrophysical properties evaluation algorithm, and wherein the petrophysical properties evaluation algorithm is a bit-independent petrophysical properties evaluation algorithm, the method further comprising the steps of:

collecting petrophysical properties data describing one or more petrophysical properties of rocks for a plurality of rock samples and correspondent acoustic characteristics data for a plurality of different types of drill bits;

determining one or more relationships between the acoustic characteristics data and correspondent one or more petrophysical properties of the rock to provide a bit-independent evaluation methodology; and

coding the determined relationships into computer program code defining the bit-independent petrophysical properties evaluation algorithm; and

wherein the step of deriving the petrophysical properties includes employing the derived bit-independent petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to the acoustic characteristics data produced in response to the drilling.