Title:

A Case Study of the Development and Optimization of Geothermal Information Systems in Tianjin

Authors:

Cheng BIAN

Key Words:

geothermal monitoring, optimal design, information system

Conference:

Stanford Geothermal Workshop

Year:

2017

Session:

General

Language:

English

Paper Number:

Bian

File Size:

360 KB

View File:

Abstract:

The utilization of geothermal resources is developed in various fields more frequently than ever in last 40 years in Tianjin. In heating, tapping water, and further applications from domestic water to agricultural irrigation, more than 500 geothermal resources facilities have been installed, along with an amount of the geothermal flowrate close to 4000×104m3. While the demand for geothermal energy has been rapidly increasing and the geothermal utilization become more sophisticated, numbers of difficulties in conventional methods of monitor in field have been revealed. The manual procedure of monitoring has implied several issues, for example, the instability of measurements, short service life of devices, and inappropriate operation. In addition to the drawbacks caused by manual monitor, the extended procedures that are required for those developed facilities, and the increased amount of data collected all result in a very challenging question which is asking for an optimal solution that can contributes to the modern monitoring system. This paper introduces a geothermal resources development and management project in Dongli Lake area, Tianjin. Since 2006, a set of automatic geothermal monitoring systems that are designed for measurement of the water level and flowrate have been installed and tested in numbers of wells across the Dongli area. The goal of the project is to unify and establish a geothermal information system for the lake area that is able to centralize well information, drilling status, reservoir monitoring parameters, information of space heating stations, etc. By developing database systems, the information system can realize a quick collection and transmission of data, live monitoring of stations and process flow, and conduct models for real time calculation. While the essential data and timely reports are provided by the project, users are therefore able to perform decision-making more efficiently and improve the management into a macroscopic level.


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