Fracture event detection

Patent metadata

Field	Value
Publication number	US-2024011377-A1
Application number	US-202217859443-A
Country	US
Kind code	A1
Filing date	Jul 7, 2022
Priority date	Jul 7, 2022
Publication date	Jan 11, 2024
Grant date	—

Abstract

Aspects of the subject technology relate to systems, methods, and computer-readable media for detecting and marking events that occur during a fracturing operation. Data related to performance of a fracturing operation in a wellbore during performance of a stage of the fracturing operation can be accessed. An event detection algorithm for detecting a specific event during the fracturing operation can be accessed. The event detection algorithm can be applied to the data to determine whether the specific event actually occurs during at least a portion of the stage of the fracturing operation. As follows, an indication of the specific event occurring during the stage of the fracturing operation can generated if it is determined that the specific event actually occurred during the at least a portion of the stage of the fracturing operation.

First claim

What is claimed is:

1 . A method comprising:
accessing data related to performance of a fracturing operation in a wellbore during performance of a stage of the fracturing operation; accessing an event detection algorithm for detecting a specific event that occurs during the fracturing operation; applying, during at least a portion of the stage of the fracturing operation, the event detection algorithm to the data to determine whether the specific event actually occurs during the at least a portion of the stage of the fracturing operation; and generating an indication of the specific event occurring during the stage of the fracturing operation if it is determined that the specific event actually occurred during the at least a portion of the stage of the fracturing operation.

2 . The method of claim 1 , further comprising:
selecting the event detection algorithm from a plurality of event detection algorithms for detecting different events during the fracturing operation; and applying the event detection algorithm based on selection of the event detection algorithm from the plurality of event detection algorithms.

3 . The method of claim 2 , wherein the event detection algorithm is selected from the plurality of event detection algorithms based on detection of a related event during the fracturing operation.

4 . The method of claim 3 , wherein an occurrence of the specific event is dependent on an occurrence of at least a portion of the related event and a relation between the specific event and the related event defines an input constraint for the event detection algorithm.

5 . The method of claim 4 , wherein the event detection algorithm is selected based on satisfaction of the input constraint according to occurrence of at least a portion of the related event during the fracturing operation.

6 . The method of claim 2 , further comprising refraining from applying at least a subset of the plurality of event detection algorithms in response to selecting and applying the event detection algorithm.

7 . The method of claim 1 , wherein the data related to the performance of the fracturing operation includes equipment data related to performance of the fracturing operation, sensor data gathered during performance of the fracturing operation, treatment status data of the fracturing operation, or a combination thereof.

8 . The method of claim 1 , further comprising aggregating the data related to the performance of the fracturing operation from a plurality of data sources and synchronizing the data across the plurality of data sources in relation to performance of the fracturing operation.

9 . The method of claim 1 , further comprising adding the indication of the specific event occurring during the stage of the fracturing operation to an event log for the fracturing operation.

10 . The method of claim 1 , wherein the specific event is a pressure breakdown event occurring in relation to fracturing of a surrounding formation to the wellbore during the stage of the fracturing operation and the event detection algorithm is a pressure breakdown event detection algorithm.

11 . The method of claim 10 , wherein the pressure breakdown event detection algorithm is applied based on detection of a ball seat event occurring during the stage of the fracturing operation.

12 . The method of claim 11 , wherein the ball seat event is detected based on application of a ball seat event detection algorithm to the data related to the performance of the fracturing operation.

13 . The method of claim 10 , wherein the pressure breakdown event detection algorithm comprises:
determining a dimensionless ratio of a volume of matter pumped into the wellbore after a ball seat event during the stage of the fracturing operation and a displacement volume of the wellbore to a treatment depth of the stage of the fracturing operation; and identifying an occurrence of the pressure breakdown event during the stage of the fracturing operation based on the dimensionless ratio.

14 . The method of claim 13 , wherein the pressure breakdown event detection algorithm further comprises:
comparing the dimensionless ratio to an upper threshold ratio that is defined with respect to a lower threshold ratio; and detecting the occurrence of the pressure breakdown event based on a comparison of the dimensionless ratio to the upper threshold ratio.

15 . The method of claim 13 , wherein the pressure breakdown event detection algorithm further comprises:
comparing the dimensionless ratio to a lower threshold ratio that is defined with respect to an upper threshold ratio; and detecting the occurrence of the pressure breakdown event based on a comparison of a slope of a pressure at a wellhead of the wellbore to a threshold pressure slope if the dimensionless ratio is less than the lower threshold ratio, wherein the slope of the pressure at the wellhead of the wellbore that is compared to the threshold pressure slope occurs after the ball seat event and during the stage of the fracturing operation.

16 . The method of claim 15 , further comprising detecting the occurrence of the pressure breakdown event at a corresponding time after the ball seat event and during the stage of the fracturing operation when the slope of the pressure associated with the wellbore is less than the threshold pressure slope.

17 . The method of claim 1 , wherein the specific event is an open well event occurring during the stage of the fracturing operation and the event detection algorithm is an open well event detection algorithm that compares pressure slope at a wellhead of the wellbore to a threshold pressure slope to identify the open well event.

18 . The method of claim 17 , further comprising:
selecting a ball seat event detection algorithm from a plurality of event detection algorithms based on identifying an occurrence of the open well event during the stage of the fracturing operation; and applying the ball seat event detection algorithm to the data related to the performance of the fracturing operation to detect an occurrence of a ball seat event after the open well event during the stage of the fracturing operation.

19 . The method of claim 1 , further comprising facilitating automated control of the fracturing operation based, at least in part, on the specific event occurring during the fracturing operation in response to determining that the specific event actually occurred during the at least a portion of the stage of the fracturing operation.

20 . A system comprising:
one or more processors; and at least one computer-readable storage medium having stored therein instructions which, when executed by the one or more processors, cause the one or more processors to:
access data related to performance of a fracturing operation in a wellbore during performance of a stage of the fracturing operation;
access an event detection algorithm for detecting a specific event that occurs during the fracturing operation;
apply, during at least a portion of the stage of the fracturing operation, the event detection algorithm to the data to determine whether the specific event actually occurs during the at least a portion of the stage of the fracturing operation; and
generate an indication of the specific event occurring during the stage of the fracturing operation if it is determined that the specific event actually occurred during the at least a portion of the stage of the fracturing operation.

21 . A non-transitory computer-readabl

Assignees

• Halliburton Energy Services Inc

Inventors

• Inyang Ubong Akpan
• Shetty Dinesh Ananda
• Bai Jie
• Sridhar Srividhya

Classifications

• E21B43/26 Primary

  by forming crevices or fractures · CPC title

• G01V1/288 Primary

  Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title

• G01V2210/1234

  Hydrocarbon reservoir, e.g. spontaneous or induced fracturing · CPC title

• G01V2210/646

  Fractures · CPC title

• E21B2200/20

  Computer models or simulations, e.g. for reservoirs under production, drill bits · CPC title