The oil and gas industry
faces a lack of compact drilling devices capable of performing horizontal
drilling maneuvers in depleted or abandoned wells in order to enhance oil
recovery. The purpose of this project was to design and develop a smart sensing
system that can be later implemented in compact drilling devices used to
perform horizontal drilling to enhance oil recovery in wells. A smart sensor is
the combination of a sensing element (sensor) and a microprocessor. Hence, a
smart sensing system is an arrangement that consists of different sensors,
where one or more have smart capabilities. The sensing system was built and
tested in a laboratory setting. For this, a test bench was used as a case study
to simulate the operation from a micro-drilling device. The smart sensing
system integrated the sensors essential for the direct operational measurements
required for the robot. The focus was on selecting reliable and sturdy
components that can handle the operation Down the Hole (DTH) on the final
lateral micro-drilling robot. The sensing system's recorded data was sent to a
microcontroller, where it was processed and then presented visually to the
operator through a User Interface (UI) developed in a cloud-based framework.
The information was filtered, processed, and sent to a controller that executed
commands and sent signals to the test bench’s actuators. The smart sensing
system included novel modules and sensors suitable for the operation in a harsh
environment such as the one faced in the drilling process. Furthermore, it was
designed as an independent, flexible module that can be implemented in test
benches with different settings and early robotic prototypes. The outcome of
this project was a sensing system able to provide robotic drilling devices with
flexibility while providing accurate and reliable measurements during their
operation.
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/15062328 |
| Date | 28 July 2021 |
| Creators | Jose Alejandro Solorio Cervantes (11191893) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Smart_Sensing_System_for_a_Lateral_Micro_Drilling_Robot/15062328 |
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