SINGLE OR MULTI-FIRE SEMI-AUTOMATIC PERFORATION SYSTEM AND METHODS OF USE
In one example, a method is provided for controlling downhole equipment that includes a plug and slips. The controlling is based on input and includes setting and unsetting the plug and the slips, moving a toolstring, which includes the plug and slips, uphole and/or downhole, and flushing proppant off and around the plug after unsetting of the plug. The input may include pressure, temperature, differential pressure and temperature, tension, density, particle concentration, and acoustic information, and the plug, and the slips, may be set and unset independently of each other.
1 . A method, comprising:
controlling downhole equipment, comprising a perforating gun, plug and slips, based on input, and the controlling comprises one or more of:
perforating a casing;
setting and unsetting the plug and the slips;
moving a toolstring, comprising the perforating gun, plug and slips, uphole and/or downhole; and
flushing proppant off and around the plug after unsetting of the plug.
2 . The method as recited in claim 1 , wherein the plug, and the slips, are set and unset independently of each other.
3 . The method as recited in claim 1 , wherein the input comprises real-time direct downhole data comprising any one or more of: pressure, temperature, differential pressure and temperature, tension, density, particle concentration, and acoustic information.
4 . The method as recited in claim 1 , wherein the input comprises input from an analysis, a model, and/or a simulation.
5 . The method as recited in claim 4 , wherein the input comprises any one or more of: pressure, temperature, differential pressure and temperature, tension, density, particle concentration, and acoustic information.
6 . The method as recited in claim 1 , wherein the input comprises information generated by an AI (artificial intelligence) model.
7 . The method as recited in claim 6 , wherein the information comprises any one or more of: pressure, temperature, differential pressure and temperature, tension, density, particle concentration, and acoustic information.
8 . The method as recited in claim 1 , wherein the input comprises real-time downhole data merged with surface data, and the input is used to observe/detect a screen out, and the method further comprises adjusting a rate, proppant concentration, and/or chemical loading, to mitigate the screen out.
9 . The method as recited in claim 1 , wherein the input comprises real-time downhole data merged with surface data, and the input is used as a basis for issuing a command to unset the plug to prevent pressuring so as to prevent proppant from settling in a wellbore above the plug when an injection rate is reduced due to high pressure.
10 . The method as recited in claim 1 , wherein the method is performed automatically and the input comprises real-time downhole data merged with surface data, and the input is used to confirm isolation due to plug integrity and the method further comprises performing mitigation steps including resetting the plug, moving the plug, or pulling the plug and rerunning a new tool string and plug.
11 . The method as recited in claim 1 , wherein the method is performed automatically and the input comprises real-time downhole data including pressure, temperature, acoustics across the plug, and the input is used to confirm isolation behind pipe cement integrity between clusters, and the input is used as a basis for moving and reshooting and resetting the plug to find a position with good cement bond.
12 . The method as recited in claim 1 , wherein the input is collected from above, and below, the plug.
13 . The method as recited in claim 1 , wherein the method comprises using an autonomous control to prevent shooting casing collars while a perforation process is being performed.
14 . A method, comprising:
automatically performing:
optimizing a wellbore hydraulics and treating pressure, utilizing directly obtained downhole data merged with surface data,
wherein the downhole data and the surface data are employed as part of a feedback loop in which one or more of the following are adjusted in real time by an optimization routine: an injection rate, friction reducer, gel loading, cross-link, proppant concentration and fluid.
15 . The method as recited in claim 14 , wherein the fluid comprises any one of: freshwater; produced water; and a blend of fresh water and produced water.
16 . The method as recited in claim 14 , wherein the optimization routine is based on a cost of one or more of a chemical, fuel, time, and equipment.
17 . The method as recited in claim 14 , wherein wellbore friction is optimized by the optimization routine.
18 . The method as recited in claim 14 , further comprising autonomously controlling a wireline pressure control lubricator when moving from cluster to cluster.
19 . The method as recited in claim 18 , wherein the pressure control lubricator comprises one or more of a stuffing box and/or a grease tube.
20 . The method as recited in claim 14 , wherein the method further comprises:
monitoring a tension of a wireline at a wellhead below a stuffing box and/or a grease tube; and
calculating a stretch of the wireline based on inputs comprising the tension of the wireline below the stuffing box, the grease tube, and/or below a toolstring cablehead.