Monitoring drilling rig operations
Example methods and systems for monitoring drilling rig operations are disclosed. One example method includes obtaining, by an edge server at a drilling rig site during a drilling operation of a wellbore and as obtained data from sensors at the drilling rig site, data from sensors at the drilling rig site. The data includes at least drilling fluid data and drilling equipment data associated with the drilling operation. A drilling morning report is generated by the edge server and based on the obtained data from sensors at the drilling rig site and input from a user. The drilling morning report includes formation tops of the wellbore and gate access information of personnel and equipment at the drilling rig site. The drilling morning report is provided to perform the drilling operation at the drilling rig site.
1 . A computer-implemented method, comprising:
obtaining, by an edge server at a drilling rig site during a drilling operation of a wellbore and as obtained data from sensors at the drilling rig site, data from sensors at the drilling rig site, wherein the data from sensors at the drilling rig site comprises at least drilling fluid data and drilling equipment data associated with the drilling operation, wherein the data from sensors at the drilling rig site comprises downhole drillstring vibration data and surface drillstring vibration data;
determining formation tops of the wellbore by cross referencing a drilling plan and analytics of cuttings generated at a shell shaker with the downhole drillstring vibration data and the surface drillstring vibration data;
generating, by the edge server and based on the obtained data from sensors at the drilling rig site and input from a user, a drilling morning report that comprises the formation tops of the wellbore and gate access information of personnel and equipment at the drilling rig site; and
performing the drilling operation at the drilling rig site based on the drilling morning report, wherein the drilling operation comprises adjusting at least one of weight on bit (WOB), rotary speed, or drilling fluid properties based on the formation tops of the wellbore.
2 . The computer-implemented method of claim 1 , wherein the sensors at the drilling rig site comprise at least one of a surveillance camera, a rig sensor, an internet of things (IoT) sensor, or a rig mobility device, and wherein the rig mobility device comprises one or more unmanned aerial vehicles (UAVs) or one or more rig robots.
3 . The computer-implemented method of claim 1 , wherein the data from sensors at the drilling rig site further comprises at least one of downhole and surface drillstring vibration data, footage of a rig floor of the drilling rig site, or gate access data for the equipment and the personnel at the drilling rig site, and the gate access data is obtained from an automated tagging device at a gate of the drilling rig site.
4 . The computer-implemented method of claim 3 , wherein
determining the formation tops of the wellbore comprises auto-generating depths of formation tops once the formation tops are hit by the drillstring during the drilling operation.
5 . The computer-implemented method of claim 3 , wherein the data from sensors at the drilling rig site comprises the footage of the rig floor of the drilling rig site, and generating the drilling morning report comprises at least one of:
identifying a major operation at the drilling rig site using the footage of the rig floor; or
triggering alerts or adjustments to operational parameters if irregularities are detected during the drilling operation.
6 . The computer-implemented method of claim 1 , wherein the input from the user is through an interactive interface with the user or automatically provided by an artificial intelligence system integrated with the edge server.
7 . The computer-implemented method of claim 1 , wherein the drilling fluid data comprises data from at least one of a mud tank fluid level gauge, a surface rheology and density meter, or a downhole density and rheology sensor.
8 . The computer-implemented method of claim 1 , wherein the drilling equipment data comprises at least one of blowout preventor (BOP) operational status data or serial numbers of bottomhole assembly (BHA) components at the drilling rig site.
9 . The computer-implemented method of claim 1 , wherein the drilling morning report further comprises at least one of drilling fluid status during the drilling operation, power generation and distribution at the drilling rig site, or a wellbore survey comprising deviations from planned trajectories of the wellbore.
10 . The computer-implemented method of claim 1 , wherein providing the drilling morning report to perform the drilling operation at the drilling rig site comprises at least one of:
adjusting, based on the drilling morning report, operational parameters of drilling equipment used for the drilling operation; or
reusing drilling fluids during the drilling operation by mixing, based on the drilling fluid data, additives with the drilling fluids.
11 . The computer-implemented method of claim 1 , wherein providing the drilling morning report to perform the drilling operation at the drilling rig site comprises:
adjusting, based on the drilling morning report and predefined thresholds, operational parameters of drilling equipment for the drilling operation.
12 . The computer-implemented method of claim 1 , wherein providing the drilling morning report to perform the drilling operation at the drilling rig site comprises:
adjusting composition of drilling fluids for the drilling operation based on the drilling fluid data.
13 . The computer-implemented method of claim 1 , wherein providing the drilling morning report to perform the drilling operation at the drilling rig site comprises at least one of:
tracking, based on the drilling morning report, wear and tear of equipment used in the drilling operation; or
predicting maintenance requirements for the equipment.
14 . A non-transitory computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:
obtaining, by an edge server at a drilling rig site during a drilling operation of a wellbore and as obtained data from sensors at the drilling rig site, data from sensors at the drilling rig site, wherein the data from sensors at the drilling rig site comprises at least drilling fluid data and drilling equipment data associated with the drilling operation, wherein the data from sensors at the drilling rig site comprises downhole drillstring vibration data and surface drillstring vibration data;
determining formation tops of the wellbore by cross referencing a drilling plan and analytics of cuttings generated at a shell shaker with the downhole drillstring vibration data and the surface drillstring vibration data;
generating, by the edge server and based on the obtained data from sensors at the drilling rig site and input from a user, a drilling morning report that comprises the formation tops of the wellbore and gate access information of personnel and equipment at the drilling rig site; and
performing the drilling operation at the drilling rig site based on the drilling morning report, wherein the drilling operation comprises adjusting at least one of weight on bit (WOB), rotary speed, or drilling fluid properties based on the formation tops of the wellbore.
15 . The non-transitory computer-readable medium of claim 14 , wherein the sensors at the drilling rig site comprise at least one of a surveillance camera, a rig sensor, an internet of things (IoT) sensor, or a rig mobility device, and wherein the rig mobility device comprises one or more unmanned aerial vehicles (UAVs) or one or more rig robots.
16 . The non-transitory computer-readable medium of claim 14 , wherein the data from sensors at the drilling rig site further comprises at least one of downhole and surface drillstring vibration data, footage of a rig floor of the drilling rig site, or gate access data for the equipment and the personnel at the drilling rig site, and the gate access data is obtained from an automated tagging device at a gate of the drilling rig site.
17 . The non-transitory computer-readable medium of claim 16 , wherein
determining the formation tops of the wellbore comprises auto-generating depths of formation tops once the formation tops are hit by the drillstring during the drilling operation.
18 . A computer-implemented system comprising:
one or more computers; and
one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, cause the computer-implemented system to perform one or more operations comprising:
obtaining, by an edge server at a drilling rig site during a drilling operation of a wellbore and as obtained data from sensors at the drilling rig site, data from sensors at the drilling rig site, wherein the data from sensors at the drilling rig site comprises at least drilling fluid data and drilling equipment data associated with the drilling operation, wherein the data from sensors at the drilling rig site comprises downhole drillstring vibration data and surface drillstring vibration data;
determining formation tops of the wellbore by cross referencing a drilling plan and analytics of cuttings generated at a shell shaker with the downhole drillstring vibration data and the surface drillstring vibration data;
generating, by the edge server and based on the obtained data from sensors at the drilling rig site and input from a user, a drilling morning report that comprises the formation tops of the wellbore and gate access information of personnel and equipment at the drilling rig site; and
performing the drilling operation at the drilling rig site based on the drilling morning report, wherein the drilling operation comprises adjusting at least one of weight on bit (WOB), rotary speed, or drilling fluid properties based on the formation tops of the wellbore.
19 . The computer-implemented system of claim 18 , wherein the sensors at the drilling rig site comprise at least one of a surveillance camera, a rig sensor, an internet of things (IoT) sensor, or a rig mobility device, and wherein the rig mobility device comprises one or more unmanned aerial vehicles (UAVs) or one or more rig robots.
20 . The computer-implemented system of claim 18 , wherein the data from sensors at the drilling rig site further comprises at least one of downhole and surface drillstring vibration data, footage of a rig floor of the drilling rig site, or gate access data for the equipment and the personnel at the drilling rig site, and the gate access data is obtained from an automated tagging device at a gate of the drilling rig site.