US2025382875A1PendingUtilityA1
Drilling operations framework
Assignee: SCHLUMBERGER TECHNOLOGY CORPPriority: Jun 14, 2024Filed: Jun 14, 2024Published: Dec 18, 2025
Est. expiryJun 14, 2044(~17.9 yrs left)· nominal 20-yr term from priority
Inventors:Denis LiRomulo Reis AguiarKien Hoe TangCarlos Felipe Lopez PerezPaul BolchoverAndrew PoorGang XuBo LiuFeng FengYupeng XuYuelin ShenGregg AlexanderYan Xia Chen
E21B 2200/20E21B 2200/22E21B 49/003E21B 44/00
48
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Claims
Abstract
A method may include receiving a request to generate a calibrated formation model; responsive to the request, providing an initial formation model, providing field data, generating simulation results using the initial formation model, and performing a comparison between the field data and the simulation results; and, based at least in part on the comparison, generating a calibrated formation model.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
receiving a request to generate a calibrated formation model; responsive to the request, providing an initial formation model, providing field data, generating simulation results using the initial formation model, and performing a comparison between the field data and the simulation results; and based at least in part on the comparison, generating a calibrated formation model.
2 . The method of claim 1 , comprising storing the calibrated formation model according to a schema.
3 . The method of claim 2 , wherein the schema comprises a JSON-based schema.
4 . The method of claim 1 , wherein the request is formulated according to an application programming interface.
5 . The method of claim 1 , wherein the simulation results comprise drilling simulation results for simulated interactions between a bit and rock, wherein the rock is specified by the initial formation model or an intermediate formation model, wherein the generated formation model is a final formation model.
6 . The method of claim 1 , comprising predicting drilling performance for drilling of at least a portion of a borehole in a subsurface region using the calibrated formation model.
7 . The method of claim 6 , comprising controlling drilling based at least in part on the predicted drilling performance.
8 . The method of claim 6 , comprising comparing actual drilling performance to the predicted drilling performance.
9 . The method of claim 8 , comprising controlling drilling based at least in part on the comparing the actual drilling performance to the predicted drilling performance.
10 . The method of claim 1 , comprising selecting a bit for drilling at least a portion of a borehole in a subsurface region using the calibrated formation model.
11 . The method of claim 10 , wherein the selecting comprises performing a number of drilling simulations using the calibrated formation model.
12 . The method of claim 11 , wherein the number of drilling simulations comprise different bit drilling simulations.
13 . The method of claim 1 , wherein the comparison compares one or more of weight on bit, rate of penetration, torque, lateral acceleration, axial acceleration, and stick-slip.
14 . The method of claim 1 , wherein the generating the calibrated formation model comprises adjusting one or more of a rock value and a friction value.
15 . The method of claim 14 , wherein the adjusting decreases error between the field data and the simulation results.
16 . The method of claim 14 , wherein the rock value comprises a rock multiplier value and wherein the friction value comprises a friction factor.
17 . The method of claim 1 , wherein the simulation results comprise bit-dependent surface weight on bit and surface torque values.
18 . The method of claim 17 , wherein the bit-dependent surface weight on bit and surface torque values correspond to a specified drilling mode.
19 . A system comprising:
one or more processors; memory accessible to at least one of the one or more processors; and processor-executable instructions stored in the memory and executable to instruct the system to:
receive a request to generate a calibrated formation model;
responsive to the request, provide an initial formation model, provide field data, generate simulation results using the initial formation model, and perform a comparison between the field data and the simulation results; and
based at least in part on the comparison, generate a calibrated formation model.
20 . One or more computer-readable storage media comprising processor-executable instructions to instruct a computing system to:
receive a request to generate a calibrated formation model; responsive to the request, provide an initial formation model, provide field data, generate simulation results using the initial formation model, and perform a comparison between the field data and the simulation results; and based at least in part on the comparison, generate a calibrated formation model.Join the waitlist — get patent alerts
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