Dynamic offset well analysis
US-2024419739-A1 · Dec 19, 2024 · US
US9482084B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9482084-B2 |
| Application number | US-201414185833-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 20, 2014 |
| Priority date | Sep 6, 2012 |
| Publication date | Nov 1, 2016 |
| Grant date | Nov 1, 2016 |
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Integrated methods and systems for optimizing drilling related operations include recording data, parsing the data into intervals and analyzing the intervals to determine if the performance data in each time interval is of sufficient quality for using the interval data in a performance optimization process. The quality assessment may involve evaluating the data against a set of determined standards or ranges. The performance optimization process may utilize data mapping and/or modeling to make performance optimization process recommendations.
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What is claimed is: 1. A method of drilling a wellbore through a subterranean formation, the method comprising the steps of: (a) receiving temporally evolving data from a drilling system while drilling regarding at least two drilling parameters, at least one of which is a controllable drilling operational parameter, the received data corresponding to an interval of drilling time; (b) calculating data-relationship statistics on the temporally evolving received data to identify non-overlapping subintervals of the received data where the subintervals are defined by conditions whereby the received data for the controllable drilling operational parameter of the at least two drilling parameters meets the criteria of having (i) a number of data points within a specified range of number of data points having standard deviations of the controllable drilling operational parameter that is not greater than a specified tolerance for the controllable drilling operational parameter, and (ii) a mean value that is within a specified range for such controllable drilling operational parameter, wherein the subintervals that are defined by such conditions are identified as a response point; (c) cataloging each identified response point within a response database, including cataloging at least one of a property determined from the received data for the identified response point and a corresponding performance value calculated using the received data for the identified response point; (d) locating the cataloged response point for the subinterval within a response map; (e) repeating steps (c)-(d) for each subinterval identified as a response point; and (f) selecting a mapped response point from the response database that meets a selected drilling performance characteristic and using at least one of the cataloged properties of and calculated values for the selected response point as a basis for making an operational adjustment for drilling the wellbore. 2. The method of claim 1 , wherein cataloging each identified response point comprises cataloging at least two of a mean value of the received data for the at least one controllable drilling operational parameter within the subinterval, a timestamp of the temporally most recent data within the subinterval, temporal duration of the subinterval, maximum depth drilled within the subinterval, an objective function value calculated from the received data within the subinterval, and another metric calculated from the received data. 3. The method of claim 2 , wherein another metric calculated from the received data includes a metric used for at least one of dysfunction detection and drilling performance quantification. 4. The method of claim 1 , wherein the at least two drilling operational parameters include at least one of weight on bit (WOB), drillstring rotary speed (RPM), drillstring torque at the rig, drillstring torque at the bit, block position, rate of penetration (ROP), drilling fluid flow rate, pump stroke rate, standpipe pressure, differential pressure across a mud motor, depth-of-cut (DOC), bit friction coefficient, and mechanical specific energy (MSE). 5. The method of claim 1 , wherein the at least one controllable drilling operational parameter include at least one of WOB, RPM, drilling fluid flow rate, and pump stroke rate. 6. The method of claim 4 , wherein the rate of penetration (ROP) is calculated as the difference between a mean block position of a subset x of the data points in a subinterval and a mean block position of a non-overlapping subset y of the data points in the same subinterval divided by the difference between a mean time of subset x and a mean time of subset y. 7. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the average or weighted average value of the at least one controllable drilling operational parameter of the response point with a maximum objective function value in the response map. 8. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the average or weighted average value of the at least one controllable drilling operational parameter of the response point with the minimum objective function value in the response map. 9. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is a specified step size multiplied by a correlation coefficient between an objective function value and at least one controllable drilling operational parameter of a subset of response points in the response database. 10. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is an average or weighted average value of at least one controllable drilling operational parameter of the response point with a maximum objective function value in the response map and a specified step size multiplied by a correlation coefficient between an objective function value and at least one controllable drilling operational parameter of a subset of response points in the response database. 11. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the average or weighted average value of the at least one controllable drilling operational parameter of the response point with a minimum objective function value in the response map and correlation coefficients of the at least one controllable drilling operational parameter of a subset of response points in the response database. 12. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the at least one controllable drilling operational parameter of a most recent response point. 13. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the at least one controllable drilling operational parameter of the response point in the response map with a maximum objective function value. 14. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the at least one controllable drilling operational parameter of the response point in the response map with a minimum objective function value. 15. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the at least one controllable drilling operational parameter of the response point in a subset of the response map with a maximum objective function value for the subset. 16. The method of claim 1 , wherein the basis for making operational adjustments for drilling the wellbore is the at least one controllable drilling operational parameter of the response point in a subset of the response map with a minimum objective function value for the subset. 17. The method of claim 1 , wherein a previous response point in a response map is replaced by a newly created response point that is within specified tolerances of the value(s) of the controllable drilling parameter(s) of that previous response point. 18. The method of claim 17 , further comprising calculating a response score based on a mathematical comparison of the number of response points in a response map with a specified threshold number of response points. 19. The method of claim 18 , further comprising calculating the response score as the ratio of the number of response points in the response map and a specified threshold number of response points. 20. The method of claim 18 , further comprising calculating an objective score usi
Measuring the drilling time or rate of penetration · CPC title
Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions · CPC title
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