Field Testing of an Automated 3D Cuttings and Cavings Measurement Sensor

Author:

Prez Sebastian1,Callerio Santiago1,Montes Abraham1,Turhan Çinar1,Ashok Pradeepkumar1,van Oort Eric1,Pruitt Roger2,Thetford Taylor2,Peroyea Trey2,Behounek Michael2

Affiliation:

1. The University of Texas at Austin

2. Apache Corporation

Abstract

AbstractObservation of cuttings and cavings serves as an important early indicator for hole cleaning and wellbore instability problems. Automation of this critical monitoring process is, however, still in its infancy. This paper highlights the development and initial field testing of a new automated cuttings and cavings monitoring sensor system. Initial challenges identified in an earlier field test, and their solutions that have been incorporated into this new working field prototype, are presented.The imaging sensors selected for the prototype, including a 3D laser profile scanner and a machine vision camera, were used in an initial field trial to assess the feasibility of building a prototype that can operate in a harsh field environment. Based on that initial field trial, the prototype was built, and preliminary outdoor tests were conducted offsite to validate its performance. Following that, a second field trial at an active drilling site in West Texas was conducted to assess the implementation and performance of the prototype in the field.Practical solutions to key challenges identified in the first field trial were successfully implemented in the new prototype, and its field performance was validated in the second field trial where the prototype was integrated into the solids control system of an active drilling rig, successfully collecting data for during drilling operations. The system accurately measured the volumetric return of cuttings, and the tests demonstrate the ability to determine the cuttings size distribution and detect anomalous-sized cavings. The results can be used directly for improved hole cleaning management and stuck pipe avoidance in field operations.This paper introduces the first working prototype of a 3D-imaging cuttings monitoring system that could be taken into production for quantifying the volumetric return of cuttings on surface and providing information about the size and shape of cuttings and cavings. The development of this cuttings sensor is a major milestone in the field of drilling automation, bringing the industry closer to achieving a fully automated hole cleaning and stuck pipe prevention system.

Publisher

SPE

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