Apparatus, computer readable medium, and program code for evaluating rock properties while drilling using downhole acoustic sensors and a downhole broadband transmitting system

• US 10,036,246 B2
• Filed: 08/10/2016
• Issued: 07/31/2018
• 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): BHAT, ADITYA S
• Application Number:
  US15/233,541
• Publication Number:
  US 20160348501A1
• Time in Patent Office: 720 Days
• Field of Search: None
• CPC Class Codes: E21B 47/14 using acoustic waves
• 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
• CPC Class Codes: E21B 49/003 by analysing drilling variables or conditions E21B49/005 takes precedence; systems specially adapted for monitoring a plurality of drilling variables or conditions E21B44/00
• CPC Class Codes: E21B 7/04 Directional drilling

Abstract

Apparatus, computer readable medium, and program code for identifying rock properties in real-time during drilling, are provided. An example of an embodiment of such an apparatus includes a downhole sensor subassembly connected between a drill bit and a drill string, acoustic sensors operably coupled to a downhole data interface, and a surface computer operably coupled to the downhole data interface. The computer can include a petrophysical properties analyzing program configured or otherwise adapted to perform various operations including receiving raw acoustic sensor data generated real-time as a result of rotational contact of the drill bit with rock during drilling, transforming the raw acoustic sensor data into the frequency domain, filtering the transformed data, deriving a plurality of acoustic characteristics from the filtered data and deriving petrophysical properties from the filtered data utilizing a petrophysical properties evaluation algorithm employable to predict one or more petrophysical properties of rock undergoing drilling.

Claims

1. A non-transitory computer readable medium having processor readable petrophysical properties analyzing program code embodied on the computer readable medium, the processor readable program code for programming one or more processors to perform operations for analyzing properties of rock in a formation in real-time during drilling, the processor readable program code comprising a set of instructions that when executed by the one or more processors, cause the one or more processors to perform the operations of:

sending sampling commands to a surface data acquisition unit in communication with a downhole data interface through a surface data interface and a communication medium extending between the surface data interface and the downhole data interface, the downhole data interface operably coupled to a plurality of acoustic sensors carried by a downhole sensor assembly,

receiving digitized raw acoustic sensor data from the surface data acquisition unit, the digitized 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;

transforming the digitized raw acoustic sensor data into the frequency domain,

filtering the transformed data, and

performing the following processing operations;

deriving a plurality of acoustic characteristics from the filtered data, the plurality of acoustic characteristics including mean frequency and normalized deviation of frequency;

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;

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

deriving petrophysical properties from the filtered data utilizing a petrophysical properties evaluation algorithm employable to identify one or more petrophysical properties of rock undergoing drilling; and

providing the one or more petrophysical properties of rock undergoing drilling or the lithology type of the rock undergoing drilling to a driller to assist in drilling operations.

2. A computer readable medium as defined in claim 1, wherein the mean frequency and normalized deviation of frequency are examined together as part of the operation 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.

3. A computer readable medium as defined in claim 1,

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

wherein the one or more processing operations comprise deriving the plurality of acoustic characteristics from the filtered data; and

wherein the operations performed by the one or more processors further comprise;

comparing the mean frequency, the normalized deviation of frequency, the mean amplitude, the normalized deviation of amplitude, and the apparent power for the rock undergoing drilling with mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power for a plurality of rock samples having different known lithologies 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 lithology type of the rock undergoing drilling responsive to the operation of comparing.

4. A computer readable medium as defined in claim 1, wherein the one or more petrophysical properties comprise:

lithology type, porosity, water saturation, and permeability of rock undergoing drilling.

5. A computer readable medium as defined in claim 1, wherein the one or more petrophysical properties comprise:

presence of hydrocarbons in rock undergoing drilling when existing and presence of fractures in the rock undergoing drilling when existing.

6. A computer readable medium as defined in claim 1,

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

wherein the one or more processing operations comprise deriving the plurality of acoustic characteristics from the filtered data; and

wherein the operations performed by the one or more processors further comprise;

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

determining a location of a formation boundary encountered during drilling responsive to the operation of comparing.

7. A computer readable medium as defined in claim 1, wherein the one or more process operations comprise deriving the petrophysical properties from the filtered data utilizing a petrophysical properties evaluation algorithm, wherein the petrophysical properties evaluation algorithm is a bit-specific petrophysical properties evaluation algorithm, the operations further comprising:

collecting petrophysical properties data describing one or more petrophysical properties of rocks contained in a data set and correspondent acoustic data for a preselected type of drill bit;

processing the collected acoustic data to produce filtered FFT data;

determining one or more relationships between features of the filtered FFT data and correspondent one or more petrophysical properties of rocks for the preselected type of drill bit; and

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

wherein the operation of deriving the petrophysical properties includes employing the petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to filtered data associated with raw acoustic sensor data produced in response to the drilling.

8. A computer readable medium as defined in claim 7, wherein the collected petrophysical properties data describes petrophysical properties of a plurality of samples taken from the formation undergoing drilling operations.

9. A computer readable medium as defined in claim 1, wherein the one or more processing operations comprise deriving the petrophysical properties from the filtered data utilizing a petrophysical properties evaluation algorithm, wherein the petrophysical properties evaluation algorithm is a bit-independent petrophysical properties evaluation algorithm, the operations further comprising:

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

processing the collected acoustic data to produce filtered FFT data;

determining bit-type independent features of the filtered FFT data;

determining one or more relationships between the bit-type independent features of the filtered FFT data and correspondent one or more petrophysical properties of the rocks; and

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

wherein the operation of deriving the petrophysical properties includes employing the petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to filtered data associated with raw acoustic sensor data produced in response to the drilling.

10. A computer readable medium as defined in claim 9, wherein the collected petrophysical properties data describes petrophysical properties of a plurality of samples taken from the formation undergoing drilling operations.

11. A non-transitory computer readable medium having processor readable petrophysical properties analyzing program code embodied on the computer readable medium, the processor readable program code for programming one or more processors to perform operations for analyzing properties of rock in a formation in real-time during drilling, the processor readable program code comprising a set of instructions that when executed by the one or more processors, cause the one or more processors to perform the operations of:

receiving raw acoustic sensor data from a surface data acquisition unit in communication with a downhole data interface through a surface data interface and a communication medium extending between the surface data interface and the downhole data interface, the downhole data interface operably coupled to a plurality of acoustic sensors; and

performing one or more of the following processing operations;

deriving a plurality of acoustic characteristics from the raw acoustic sensor data, the plurality of acoustic characteristics including mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power, wherein the apparent power represents the power of the acoustic signal;

comparing the mean frequency, the normalized deviation of frequency, the mean amplitude, the normalized deviation of amplitude, and the apparent power for the rock undergoing drilling with mean frequency, normalized deviation of frequency, mean amplitude, normalized deviation of amplitude, and apparent power for a plurality of rock samples having different known lithologies, the mean frequency and normalized deviation of frequency being examined together and the mean frequency and the mean amplitude being examined together to determine an amount of correlation of the acoustic characteristics associated with the rock undergoing drilling and the acoustic characteristics associated with the rock samples, the operation of comparing being performed substantially continuously during drill bit steering; and

performing one or more of the following responsive to the operation of comparing;

identifying lithology type of the rock undergoing drilling, and

determining a location of a formation boundary encountered during drilling; and

providing the lithology type of the rock undergoing drilling or the location of the formation boundary to a driller to assist in drilling operations.

12. A computer readable medium as defined in claim 11, wherein the operations performed by the one or more processors further comprise sending sampling commands to the data acquisition unit, and deriving a frequency distribution of the acoustic data from the raw acoustic sensor data, the operation of deriving a frequency distribution comprising the operations of:

transforming the raw acoustic sensor data into the frequency domain; and

filtering the transformed data.

13. A computer readable medium as defined in claim 11, wherein the operations performed by the one or more processors further comprise:

deriving petrophysical properties from the raw acoustic sensor data utilizing a petrophysical properties evaluation algorithm employable to predict one or more petrophysical properties of rock undergoing drilling.

14. A computer readable medium as defined in claim 13, wherein the one or more processing operations comprise deriving the petrophysical properties from the raw acoustic sensor data utilizing a petrophysical properties evaluation algorithm, wherein the petrophysical properties evaluation algorithm is a bit-specific petrophysical properties evaluation algorithm, the operations further comprising:

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

processing the collected acoustic data to produce filtered FFT data;

determining one or more relationships between features of the filtered FFT data and correspondent one or more petrophysical properties of rocks describing petrophysical properties of a plurality of formation samples for the preselected type of drill bit; and

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

wherein the operation of deriving the petrophysical properties includes employing the petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to filtered data associated with raw acoustic sensor data produced in response to the drilling.

15. A computer readable medium as defined in claim 13, wherein the one or more processing operations comprise deriving the petrophysical properties from the raw acoustic sensor data utilizing a petrophysical properties evaluation algorithm from the raw acoustic sensor data, wherein the petrophysical properties evaluation algorithm is a bit-independent petrophysical properties evaluation algorithm, the operations further comprising:

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

processing the collected acoustic data to produce filtered FFT data;

determining bit-type independent features of the filtered FFT data;

determining one or more relationships between the bit-type independent features of the filtered FFT data and correspondent one or more petrophysical properties of the rocks; and

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

wherein the operation of deriving the petrophysical properties includes employing the petrophysical properties evaluation algorithm to predict one or more petrophysical properties of the rock undergoing drilling real-time responsive to filtered data associated with raw acoustic sensor data produced in response to the further drilling.