Use of drilling data for engineered completions
Abstract
Methods may include applying a correlation between the probability of stress variations in a first well and variations in drilling data obtained from the first well to drilling data obtained from one or more additional wells; calculating a proportion of high stress and low stress contrast stages within the one or more additional wells; and creating one or more synthetic stress profiles for various completion techniques based on the calculated proportion of high stress and low stress contrast stages within the one or more additional wells; and using the one or more synthetic stress profiles to create a synthetic stress log for a geometric completion (GC) and an engineered completion (EC). Methods may also include obtaining drilling data from one or more wells; calculating a proportion of high stress and low stress contrast stages within the one or more additional wells; and creating one or more synthetic stress profiles for various completion techniques based on the calculated proportion of high stress and low stress contrast stages within the one or more wells.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
applying a correlation between the probability of stress variations in a first well and variations in drilling data obtained from the first well to drilling data obtained from one or more additional wells; calculating a proportion of high stress and low stress contrast stages within the one or more additional wells; and creating one or more synthetic stress profiles for various completion techniques based on the calculated proportion of high stress and low stress contrast stages within the one or more additional wells; and using the one or more synthetic stress profiles to create a synthetic stress log for a geometric completion (GC) and an engineered completion (EC).
2 . The method of claim 1 , further comprising determining a production forecast for each of the GC and the EC.
3 . The method of claim 2 , further comprising flagging a subset of the one or more additional wells for EC based on the production forecast.
4 . The method of claim 1 , further comprising performing GC or EC on the one or more additional wells.
5 . The method of claim 1 , further comprising ranking the one or more additional wells according to one or more selected from a group consisting of production capacity, drilling quality, and dogleg severity.
6 . The method of claim 1 , wherein drilling data obtained from the first well comprises one or more gamma ray logs.
7 . The method of claim 1 , wherein drilling data obtained from the first well comprises one or more selected from a group consisting of weight on bit, rotations-per-minute, torque, rate of penetration, total mineralogical composition, cuttings analysis, mechanical specific energy, and thermal conductivity.
8 . The method of claim 1 , wherein drilling data obtained from one or more additional wells comprises one or more gamma ray logs.
9 . The method of claim 1 , wherein drilling data obtained from one or more additional wells comprises one or more selected from a group consisting of weight-on-bit, rotations-per-minute, torque, rate of penetration, total mineralogical composition, cuttings analysis, mechanical specific energy, and thermal conductivity.
10 . The method of claim 1 , wherein applying the determined correlation to drilling data obtained from one or more additional wellbores comprises determining the common mineralogy for at least one of the first well and the one or more additional wells.
11 . The method of claim 1 , wherein the correlation between the probability of stress variations in a first well and variations in drilling data obtained from the first well is derived from one or more selected from a group consisting of the range of minimum and maximum data values for each data set obtained from clusters within the first well; the common mineralogy for each data set obtained from clusters within the first well; and statistical processing of each data set obtained from clusters within the first well.
12 . The method of claim 1 , wherein calculating a proportion of high stress and low stress contrast stages within the one or more additional wells comprises generating at least one of: a probability of high stress contrast as a function of data variation value, and a probability of low stress contrast as a function of data variation value.
13 . A method comprising:
obtaining drilling data from one or more wells; calculating a proportion of high stress and low stress contrast stages within the one or more additional wells; and creating one or more synthetic stress profiles for various completion techniques based on the calculated proportion of high stress and low stress contrast stages within the one or more wells.
14 . The method of claim 13 , further comprising using the one or more synthetic stress profiles to create a synthetic stress log for a geometric completion (GC) and an engineered completion (EC).
15 . The method of claim 14 , further comprising determining a production forecast for each of the GC and the EC.
16 . The method of claim 15 , further comprising flagging a subset of the one or more additional wells for EC based on the production forecast.
17 . The method of claim 14 , further comprising performing GC or EC on the one or more additional wells.
18 . The method of claim 13 , further comprising ranking the one or more wells according to one or more selected from a group consisting of production capacity, drilling quality, and dogleg severity.
19 . The method of claim 13 , wherein drilling data obtained from the one or more wells comprises one or more selected from a group consisting of weight-on-bit, rotations-per-minute, torque, rate of penetration, total mineralogical composition, cuttings analysis, mechanical specific energy, and thermal conductivity.
20 . The method of claim 13 , wherein obtaining drilling data from one or more wells comprises determining the common mineralogy for the one or more wells.Join the waitlist — get patent alerts
Track US2017114616A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.