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Title:
AT-BIT SENSING OF ROCK LITHOLOGY
Document Type and Number:
WIPO Patent Application WO/2020/223073
Kind Code:
A4
Abstract:
A method is described for predicting geo-mechanical and physical properties of subterranean rock at the cutting surface of a drill bit during drilling operations using machine learning model(s). Said models are driven by a set of subterranean measurements related to the structural, physical response of subterranean rock mechanical failure in combination with the measure of SMSE. The geo-mechanical and physical properties of subterranean rock may include measures of rock geo-mechanical strength, unconfined compressive strength (UCS), porosity, density, natural gamma ray, and/or borehole natural fracture network. Said machine learning models are developed (or trained) using historical drilling data sets of subterranean sensors through correlation to an accepted or accurate measure of subterranean rock properties. Said predicted measures may be further processed along with other data from oilfield development operations to provide vital information for drilling performance, well bore placement and engineered completion desing.

Inventors:
HARVEY PETER (US)
Application Number:
PCT/US2020/029245
Publication Date:
December 03, 2020
Filing Date:
April 22, 2020
Export Citation:
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Assignee:
HARVEY PETER R (US)
International Classes:
E21B41/00; E21B44/00
Attorney, Agent or Firm:
FAGIN, Richard, A. (US)
Download PDF:
Claims:
AMENDED CLAIMS

received by the International Bureau on 23 October 2020 (23.10.2020)

What is claimed is

1. A method for determining mechanical specific energy of a drill bit drilling a subsurface formation, the drill bit rotated by a drilling motor in a drilling assembly, the method comprising: measuring a parameter related to torque applied to the drill bit;

measuring a parameter related to rotational speed of the drill bit using a measurement made in a bottom hole assembly (BHA) on a side of the drilling motor opposite to the drill bit; determining a volumetric rate of penetration of the drill bit through the subsurface formation; and

calculating the mechanical specific energy from the parameter related to torque, the parameter related to rotational speed and the volumetric rate of penetration.

2. The method of claim 1 further comprising using the calculated mechanical specific energy to adjust a trajectory of a wellbore created by the drilling.

3. The method of claim 1 wherein the parameter related to rotational speed comprises magnetic field amplitude.

4. The method of claim 1 wherein the parameter related to rotational speed comprises acceleration.

5. The method of claim 1 wherein the parameter related to torque comprises torsional strain.

6. A method for determining power of a drill bit drilling a subsurface formation, the drill bit rotated by a drilling motor in a drilling assembly, the method comprising:

measuring a parameter related to torque applied to the drill bit;

measuring a parameter related to rotational speed of the drill bit using a measurement made in a bottom hole assembly (BHA) on a side of the drilling motor opposite to the drill bit; and

calculating the power from the parameter related to torque and the parameter related to rotational speed. REPLACEMENT SHEET

7. The method of claim 6 further comprising using the calculated power to adjust a trajectory of a wellbore created by the drilling.

8. The method of claim 6 wherein the parameter related to rotational speed comprises magnetic field amplitude.

9. The method of claim 6 wherein the parameter related to rotational speed comprises acceleration.

10. The method of claim 6 wherein the parameter related to torque comprises torsional strain.

11. A method for predicting a lithology-related parameter of a formation at a drill bit during drilling a wellbore, comprising:

measuring a parameter related to power expended at the drill bit made in a bottom hole assembly (BHA) during the drilling;

measuring a parameter related to vibration energy in a drilling assembly made in the bottom hole assembly (BHA) during drilling; and

using the measured parameter related to power and the measured parameter related to vibration energy as a control parameter to trajectory of the well during drilling.

12. The method of claim 11 wherein the parameter related to power comprises torque at the drill bit and rotational speed of the drill bit.

13. The method of claim 11 wherein the parameter related to rotational speed comprises magnetic field amplitude.

14. The method of claim 11 wherein the parameter related to rotational speed comprises acceleration.

15. The method of claim 11 wherein the parameter related to torque comprises torsional strain.

27 REPLACEMENT SHEET

16. The method of claim 11 wherein the parameter related to vibration comprises axial acceleration, lateral acceleration and rotational acceleration.

17. The method of claim 11 wherein the lithology-related parameter comprises at least one of density, neutron porosity, gamma ray radiation, resistivity and acoustic velocity.

18. The method of claim 11 wherein the corresponding measurements are made by at least one sensor disposed on the drilling assembly on a side of a drilling motor opposed to a side thereof on which the drill bit is disposed.

19. The method of claim 11 wherein the corresponding measurements are made by at least one sensor disposed on the drilling assembly between a drilling motor thereon and the drill bit.

20. The method of claim 11 further comprising:

using the measured parameter related to power and the measured parameter related to vibration energy, and corresponding measurements of the lithology-related parameter as input to train a machine learning model; and

using the measured parameter related to power and the measured parameter related to vibration energy in the trained machine learning model to predict a value of the lithology-related parameter at the drill bit.

21. The method of claim 11 further comprising determining rotary orientation of the BHA during drilling and measuring the parameter related to power expended at the drill bit and vibration energy, and assigning the measured parameters to bins corresponding to the rotary orientation.

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