Wireless Sensor Network Proposed Remote Sand Monitoring System

Installation of a system to monitor and measure sand production from an oil well especially in a petroleum industry would be valuable to assist. Sand production is considered one of the major Problems facing the petroleum industry since a small amount of sand in the produced fluid can result in significant erosion in a very short time period. In this paper, we present a framework for sand detection and sand production rate measurement. The framework combines Two modules: 1) a wireless sensor data acquisition (WSDA) module and 2) a central data fusion (CDF) module. The framework is designed to collect data from oil pipeline using acoustic sensors (SENACO AS100), flow analyzer (MC-II), and differential pressure transmitter (EJA110A) in real time. . A test bed is established from ten acoustic sensors mounted on a closed-loop pipeline. The flow rate and the differential pressure are monitored as well. The sand is injected in the test bed with a constant flow and pressure. The output of the acoustic sensor is analyzed in order to calculate the sand production rate. The sand rate, flow rate, and pressure are digitized for wireless transmission using the WSDA module. The data are collected in the gateway, i.e., a laptop in our case. The CDF module is implemented in the gateway. The purpose of data fusion is to improve the system performance. Three different fusion methods, fuzzy art, maximum-likelihood estimator, and moving average filter are evaluated throughout the simulation and experimental results. The proposed framework is successfully tested and evaluated.