System for automated real time monitoring of invisible non-productive time of drilling and completion operations for oil wells

Abstract

A monitoring system for drilling and completion of oil wells includes computer equipment with a local server, which collects information from a series of sensors installed in each drilling equipment such as hook load, pressure, depth, flow, RPM and torque sensors, these sensors provide real-time data on the progress and depth of the well. In addition to being stored on the local server, the information is sent to a database in the AWS cloud for replication on a central server. The system allows continuous monitoring of activities both at the drilling site and remotely, which facilitates the optimization of operations and the implementation of improvement plans. The system is also configured to perform calculations of time spent on each activity, pipe connections, drilling speed and pipe travel speed. It also calculates the time lost in each activity based on standard values, generating alarms when established thresholds are exceeded or below defined speeds or other operating metrics. These alarms are transmitted to the driller in real time via a Tablet device, allowing to seek the optimization of the current activity at the moment by means of predictive indications.

1 . Processing system for automated real-time Invisible Non-productive Time (INPT) monitoring in drilling and completion operations for oil wells, comprising:
 a plurality of sensors located along the drilling infrastructure capable of obtaining data from drilling operations,   a WITS server that receives and stores the data collected from the plurality of sensors using a connection to a TCP IP port using the WITS protocol,   a server comprising a processor and a memory, in charge of carrying out the processing of data received by the WITS server and in communication with a router in charge of sending wirelessly the information of the calculated data to be displayed in the operator's cabin and an on-site display,   an APN through which all the information that has been monitored and calculated is sent to the cloud and can be viewed in real time through unlimited web access to 24-hour monitoring centers comprising a plurality of screens and remote interfaces, as well as at external locations,   Wherein the processor is configured for:   calculating the platform state through the combination of results between a plurality of data inputs called thresholds, the reading of the last measurements recorded by the plurality of sensors, and the reading of a new record in the WITS server in real time through the plurality of sensors, wherein the value obtained between the difference of the stored readings and the recorded readings in real time is compared with respect to the threshold value for the same variable, if the difference is greater or less than the established threshold, the state of the parameter is designated as on/off for each of these variables, establishing a particular code for each of the platform states;   determining the initial configuration of the system, which will be made up of values collected through the standards interface that represent the metrics with respect to a target time and correspond to the performance in terms of KPIs;   calculating metrics by performing a mapping between the platform state and the operating configuration to define the timing metrics; and   evaluating the metrics calculated with respect to the KPI standards, if it is determined that the speeds and times of each activity executed in real time exceed the KPI standard limits, through a color code its performance is established; where:   Green: performance is less than or equal to the standard and the standard is being met;   Yellow: the performance is at the standard limit and its configured percentile;   Orange: performance is less than or equal to the percentile plus 20%.   Red: performance is above the configured percentile plus 20% representing poor performance.   
     
     
         2 . The processing system for automated real-time INPT monitoring in drilling and completion operations for oil wells according to  claim 1 , wherein once the processor evaluates the calculated metrics with respect to the KPI standards, it can generate automated reports including metrics such as INPT, operating efficiency and platform performance. 
     
     
         3 . The processing system for automated real-time INPT monitoring in drilling and completion operations for oil wells according to  claim 1 , wherein once the processor evaluates the calculated metrics with respect to the KPI standards, it can generate visual, audible or a combination of both alerts indicating non-compliance with KPIs representing INPT. 
     
     
         4 . The processing system for automated real-time INPT monitoring in drilling and completion operations for oil wells according to  claim 1 , wherein for real-time data visualization, the SSH security protocol is used. 
     
     
         5 . A method of automated real-time INPT monitoring in a drilling and completion system for oil wells comprising:
 a plurality of sensors located along the drilling infrastructure capable of obtaining data from drilling operations in real time,   a WITS server that receives and stores the data collected from the plurality of sensors using a connection to a TCP IP port using the WITS protocol,   a server comprising a processor and a memory, in charge of carrying out the processing of data received by the WITS server and in communication with a router in charge of sending wirelessly the information of the calculated data to be displayed in the operator's cabin and in an on-site display,   an APN through which all the information that has been monitored and calculated is sent to the cloud and can be viewed in real time through unlimited web access to 24-hour monitoring centers comprising a plurality of screens and remote interfaces, as well as at external locations,   wherein the processor is configured to carry out the steps of the method:   calculating the platform state through the combination of results between a plurality of data inputs called thresholds, the reading of the last measurements recorded by the plurality of sensors, and the reading of a new record in the WITS server in real time through the plurality of sensors, wherein the value obtained between the difference of the stored readings and the recorded readings in real time is compared with respect to the threshold value entered by the user for the same variable, if the difference is greater or less than the established threshold, the state of the parameter will be designated as on/off for each of these variables and will be identified through a code for each of them;   determining the initial configuration of the system, which will be made up of values collected through the standards interface that represent the metrics with respect to a target time and correspond to the performance in terms of KP;   calculating metrics by performing a mapping between the platform state and the operating configuration to define the timing metrics; and   evaluating the metrics calculated with respect to the KPI standards, if it is determined that the speeds and times of each activity executed in real time exceed the KPI standard limits, through a color code its performance is established; where:   Green: performance is less than or equal to the standard and the standard is being met;   Yellow: the performance is at the standard limit and its configured percentile;   Orange: performance is less than or equal to the percentile plus 20%.   Red: performance is above the configured percentile plus 20% representing poor performance.   
     
     
         6 . The method of automated real-time INPT monitoring in drilling and completion operations for oil wells according to  claim 5 , wherein once the calculated metrics are evaluated with respect to the KPI standards, the processor is configured to be able to generate automated reports that include metrics such as INPT, operating efficiency and platform performance. 
     
     
         7 . The method of automated real-time INPT monitoring in drilling and completion operations for oil wells according to  claim 5 , wherein once the calculated metrics are evaluated against the KPI standards, the processor is configured to be able to generate visual, audible or a combination of both alerts indicating non-compliance with KPIs representing INPT. 
     
     
         8 . The method of automated real-time INPT monitoring in drilling and completion operations for oil wells according to  claim 5 , wherein for real-time data visualization, the SSH security protocol is used. 
     
     
         9 . Computer-readable medium capable of carrying out automated real-time INPT monitoring in a drilling and completion system for oil wells, wherein it carries out the method steps according to  claim 5 .