Risk assessment for drilling and well completion operations
Abstract
A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for assessing risk for well completion, comprising:
obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs; determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters; developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.
2 . The method of claim 1 , wherein the number of Monte Carlo trials is supplied by a user as an input parameter.
3 . The method of claim 1 , wherein the non-productive time distribution is based on a non-productive time event frequency parameter and a non-productive time severity parameter associated with the one or more planned runs.
4 . The method of claim 3 , wherein the non-productive time event frequency parameter is a function of a bottom hole assembly configuration parameter.
5 . The method of claim 3 , wherein the non-productive time severity is a function of a hole size parameter, a depth parameter, a drilled length parameter, and a maximum dog leg parameter associated with the one or more planned runs.
6 . The method of claim 3 , wherein the non-productive time severity for each planned run is multiplied by a binary frequency function to compute the non-productive time distribution.
7 . The method of claim 1 , wherein the risk transfer model results account for a specific country or field based on a location modifier factor.
8 . The method of claim 1 , wherein the risk transfer model results generate a future risk score that estimates future non-productive time performance.
9 . The method of claim 1 , wherein the risk transfer model comprises land and offshore non-productive time.
10 . The method of claim 1 , wherein the risk transfer model converts the risk transfer model results from a non-productive time risk to a financial risk.
11 . An apparatus for estimating actual downtimes from drilling operations using a risk transfer model, comprising:
a non-transitory memory; a processor coupled to the non-transitory memory, wherein the processor obtains computer executable instructions stored on a non-transitory memory that when executed by the processor causes the apparatus to perform the following:
receive a plurality of field parameters that correspond to a plurality of planned runs via an input interface;
determine a non-productive time risk for each of the planned runs based on the field parameters;
generate a total non-productive time risk using one or more Monte Carlo trials; and
output the total non-productive time risk via a user interface,
wherein the number of Monte Carol trials is received via the input interface.
12 . The apparatus of claim 11 , wherein the non-productive time risk is based on a non-productive time event frequency parameter and a non-productive time severity parameter associated with the one or more planned runs.
13 . The apparatus of claim 12 , wherein the non-productive time event frequency parameter is a function of a bottom hole assembly configuration parameter.
14 . The apparatus of claim 12 , wherein the non-productive time severity is a function of a hole size parameter, a depth parameter, a drilled length parameter, and a maximum dog leg parameter associated with the one or more planned runs.
15 . The apparatus of claim 12 , wherein the non-productive time severity for each planned run is multiplied by a binary frequency function to compute the non-productive time distribution.
16 . The apparatus of claim 11 , wherein the non-productive time risk results account for a specific country or field based on a location modifier factor.
17 . The apparatus of claim 11 , wherein the non-productive time risk results comprises land and offshore non-productive time.
18 . A system comprising:
an input interface; an user interface; a processor coupled the input interface and the user interface, wherein the processor receives computer executable instructions stored on a memory that when executed by the processor causes the following:
receive a plurality of field parameters that correspond to a plurality of planned runs via an input interface;
determine a non-productive time risk for each of the planned runs based on the field parameters;
generate a total non-productive time risk using one or more Monte Carlo trials; and
output the total non-productive time risk via a user interface,
wherein the number of Monte Carol trials is received via the input interface.
19 . The system of claim 18 , wherein the non-productive time risk is based on a non-productive time event frequency parameter and a non-productive time severity parameter associated with the one or more planned runs.
20 . A method, system, and apparatus magnetically detecting equipment external to a downhole pipe prior to performing certain well operations as shown and described.Join the waitlist — get patent alerts
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