The post soviet territories offers to understand the post industrial sites and its effect on the ecology that transforms / generates changes at a large-scale. Khanty-Mansyik Autonomous Okrug is the oil capital of Russia. The territory is 900 km from north to south and 1,400 km from west to east .This district has 450 oil fields which are also the reasons of development and creations of settlement in this area. While, this development has not only harmed the indigenous way of living in thus porous landscape it has also affected the biological systems around. The landscape is transformed into a machine landscape that harvests oil constituting of 42.5% of the Russian oil supply.
Further investigating into the biome of Khanty Mansi , composed of wetland and marshlands having freezing temperatures in the winters, the soil freezes there by not allowing roots to deepen into the soil. Hence , moss lichen mycelium tend to thrive in such soils.
The machine landscape, oil extraction pumps have led to oil leaks and APG gas flaring in the area which has constituted in disturbing marine life and a decrease in the size and number of annual shoots of leaves hindering the natural growth process of the vegetation, also affecting oxygen production by the trees.
Further the ecosystem has evolved into algae bloom being part of the water systems as a result of oil leaks in the oil fields.
As the ecology evolves due the human activities and modification, we propose to evolve with such systems and harbour opportunities to create new one that redefines the coexistence of human and non human agencies as symbiotic systems of operation.
The landscape is investigated to understand the consequences of ongoing operations on site.The landscape is analysed with the polluted features.A data of polluted feature are collected to investigate the future scenario of the kind of landscape that will emerge out of them. Neural networks are used to analyse this scenario which results into a generating dystopic features of the landscape. To propose and compare a new scenario of all water features , river systems and land formation features are collected.Neural networks are used to imagine a new landscape patterns that support growth of algae systems. Neural networks are used as a tool to design new dynamic landscapes that can act an energy production landscape through algae. A system that help replace new existing oil extraction systems by biofuel extracted through algae.
This energy production system is the speculated to be an autonomous landscape through the process of block-chain.
The indigenous people of Russia are then provided with free pieces of land and a smart contract is developed where in through the google satellite imagery the primary productivity of the land is mapped. This data Is used to generate an interstice data topology that people can use to understand and invest into through cryptocurrency website. As the investment through the topology increases , it evolves the landscape and its capabilities as an energy production landscape
Neural Networks Dreaming Energy Generating Landscape
Our site Khanty Mansi is an oil capital in Russia consisting of 450 oil fields, transforming the landscape through machinic structures extracting oil and affecting the biome .The video shows an investigation and comparison between a dystopic and evolved future of this territory. The first dataset shows the polluted features on site , thus using neural networks as a tool to speculate the future of the landscape if the ongoing oil extraction process is carried. As the water systems have oil leaks that have never been cleaned up, the system has evolved to grow algae. The second dataset is a set of water features that can harbour this algae cultivation thus using neural networks to dream a new landscape that is capable of generating biofuel. The video aims at explaining the evolution of the landscape while calculating the quantities of both oil and bio fuel generation activities and their affects.
Sectional model of the larger landscape morphology
Team - Tao chen , Anshika Tajpuriya
Workshop Tutors - Maria Kupstova, Vadim Smakhtin , Artem Kovnevskikh