Developing A Virtual Reality Model Focusing On Reducing The Environmental Impact Of Deep-Sea Mining

Development of a deep-sea mining system is a new and interesting field of research. Commercial mining of the ocean floor for SMS deposits is yet to occur, and while exploration of the undersea has been undertaken by various research institutes exploitation of SMS deposits is yet to be investigated in detail. Industry has been stimulated by the potential development of economically viable deep-sea mining methods. The establishment of deep-sea mining production has also been encouraged by industry trends. These include the success of the oil and offshore diamond industries, scientific advances in computer modeling, technological advances in undersea exploratory equipment and further development of the Law of the Sea. This project also presents an opportunity to build on UNSW?s established reputation, positioning the Mining Research Centre as a leader in this specialized field of research. This project aims to form a greater understanding of the environmental conditions associated with SMS deposits, detailing the physical, biological and chemical characteristics of typical ocean floor sites from an environmental management perspective. With the aid of previous numerical models and disturbance experiments that have been conducted at various ocean floor sites worldwide, new virtual reality models will be developed to enable assessment of the environmental impact of the undersea mining process. These models will simulate seafloor systems prior to mining through various stages including particle distribution and sediment disturbance, to illustrate the impact of a number of proposed mining techniques. The model will allow users an interactive virtual experience of a potential SMS deposit site where hotspots can be identified and mining processes can be demonstrated. This initial baseline model will help to establish generic parameters, which can then be modified and tailored to simulate a wide range of deposit sites and differing mining processes. These models will be validated with the development of appropriate physical modelling.