Next-Generation Kick Detection During Connections
- Chris Carpenter (JPT Technology Editor)
- Document ID
- Society of Petroleum Engineers
- Journal of Petroleum Technology
- Publication Date
- January 2017
- Document Type
- Journal Paper
- 63 - 65
- 2016. Society of Petroleum Engineers
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- 206 since 2007
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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 178821, “Next-Generation Kick Detection During Connections: Influx-Detection-at-Pumps-Stop Software,” by B.A. Tarr, SPE, D.W. Ladendorf, SPE, and D. Sanchez, Shell, and G.M. Milner, SPE, CoVar Applied Technologies, prepared for the 2016 IADC/SPE Drilling Conference and Exhibition, Fort Worth, Texas, USA, 1–3 March. The paper has not been peer reviewed.
At least 25% of all influx events on deepwater wells occur while making connections, but few deepwater-rig contractors use kick-detection alarms to alert the driller during a connection. Because of the transient-flow characteristics associated with connections, kick detection during connections is the most challenging to automate effectively. An influx-detection-at-pumps-stop (IDAPS) software was developed to provide early warning of abnormal flowback conditions during connections.
On the basis of an internal review of kick-detection technology, an operator determined that three different well-construction activities must be included in any automated, smart kick-detection system: drilling, making connections, and tripping.
A multiyear effort was initiated in 2012 to develop an automated kick-detection system specific to connections. This effort resulted in the development of the IDAPS software that is now in daily use in the operator’s real-time operations centers (RTOCs), where it is part of the routine suite of monitoring programs used during the well-construction phase of offshore wells. Most existing influx- or kick-detection systems designed for RTOC users require frequent interaction with a knowledgeable user, but the IDAPS application was designed to require only minimal interaction to automatically detect connection-related possible influxes, with an associated influx probability from low to confirmed, and to alert RTOC users in real time.
IDAPS-Software-Development Process. The software-development program included the following six steps.
- Definition of functional requirements and performance objectives and establishment of performance metrics. The influx-detection requirements for IDAPS software as defined by the operator as follows are detailed in the complete paper.
- Provide reliable influx alarms for all historical connection events.
- Estimate influx volume for all high-confidence influx alarms.
- Provide clear, brief explanations for data indicating influx alarms.
- Detect and provide alarm messages for possible sensor problems.
- Collection of data and labeling “ground truth.” The historical data sets consisted of time-tagged values (at 1- or 5-second sampling rate) of bit depth, hole depth, flow in, flow out, and pit volume for approximately 30 wells drilled over a large range of depth intervals and drilling conditions. Later in the IDAPS development process, a few “blind” data sets were also provided to validate the performance derived from the historical data sets. The provided data included recorded examples for more than 3,000 pumps-off events. However, only 10 of these pumps-off events included a detected influx. Therefore, the most important limitation of the historical data in the software-development program was the limited number of verified connection kicks detected after pumps off.
|File Size||3 MB||Number of Pages||3|