Prospective application of Lidar Scanning during ambient air contamination control at offshore oil fields

Document Type : Research Paper


“SED” LLP Environmental Surveys Test Laboratory, 3-Askarova Street, Almaty, Kazakhstan


Organization and development conditions of ambient air contamination control stations available at onshore and offshore oil fields differ significantly. In the former case, when organizing production control at onshore facilities considering well-established practice, no special restrictions are recorded both for the development and location of a stationary network of the control stations, and for route and flare measurements. Organization of the control system at offshore facilities is determined by special conditions and requirements which is associated with a technical solution for deployment of the control stations in the aquatic area on the one hand and outfit of independent power supply utilities, and reliability of the systems and their self-sufficiency from the climatic conditions, on the other hand. Considering this, common process specifications applied to the ambient air contamination control systems do not possess a sufficient potential for their application at offshore facilities. A brief empiric assessment of various concepts for organization of production control of ambient air contamination at oil fields offshore facilities in the North Caspian Sea aquatic area considering their optimistic application and economic feasibility of their application is provided in the analytical review. The ambient air contamination control system including implementation of Lidar complexes for distant reconnaissance is a prevailing trend in the concepts assessed.


Abida, Tauquir Alam, M & Asif, M 2020, Study of Some Hyndantion Derivatives as Anticonvulsant Agents, Progress in Chemical and Biochemical Research, 3: 93-104.
Arekhi, M, Terry, LG, John, GF, Al-Khayat, JA, Castillo, AB, Vethamony, P & Clement, TP 2020, Field and laboratory investigation of tarmat deposits found on Ras Rakan Island and northern beaches of Qatar. Science of the Total Environment735, 139516.
Bretschneider, TR & Shetti, K 2015, UAV-based gas pipeline leak detection. In Proceeding of ARCS.
Chuvieco, E 2016, Fundamentals of satellite remote sensing: An environmental approach. CRC press.
Ebeid, E, Skriver, M, Terkildsen, KH, Jensen, K & Schultz, UP 2018, A survey of open-source UAV flight controllers and flight simulators. Microprocessors and Microsystems, 61: 11-20.
El Hamzaoui, H, Ouerdane, Y, Bigot, L, Bouwmans, G, Capoen, B, Boukenter, A, Girard, S & Bouazaoui, M 2012, Sol-gel derived ionic copper-doped microstructured optical fiber: a potential selective ultraviolet radiation dosimeter. Optics express, 20: 29751-29760.
Fang, S, Da, Xu, L, Zhu, Y, Ahati, J, Pei, H, Yan, J & Liu, Z 2014, An integrated system for regional environmental monitoring and management based on internet of things. IEEE Transactions on Industrial Informatics, 10: 1596-1605.
Fernández-Muñiz, B, Montes-Peón, JM & Vázquez-Ordás, CJ 2009, Relation between occupational safety management and firm performance. Safety Science, 47: 980-991.
Hardin, PJ & Jensen, RR 2011, Small-scale unmanned aerial vehicles in environmental remote sensing: Challenges and opportunities. GIScience & Remote Sensing, 48: 99-111.
Hunt, ER, Horneck, DA, Spinelli, CB, Turner, RW, Bruce, AE, Gadler, DJ, Brungardt, JJ & Hamm, PB 2018, Monitoring nitrogen status of potatoes using small unmanned aerial vehicles. Precision agriculture, 19: 314-333.
Ibrahim, M, Elgamri, A, Babiker, S & Mohamed, A 2015, Internet of things based smart environmental monitoring using the Raspberry-Pi computer. In 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC), pp. 159-164, IEEE.
Lazarescu, MT 2013, Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 3: 45-54.
Massabuau, JC, Gudimov, A & Blanc, P 2015, October. Environmental monitoring of Arctic waters with unmanned bivalve biosensor technology: one year of background data acquisition in the Barents Sea. In: SPE Russian Petroleum Technology Conference, Society of Petroleum Engineers.
Mityagina, M & Lavrova, O 2016, Satellite survey of inner seas: oil pollution in the Black and Caspian seas. Remote Sensing, 8: 875.
Pacheco, A, Horta, J, Loureiro, C & Ferreira, Ó 2015, Retrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow waters. Remote Sensing of Environment, 159: 102-116.
Pryde, PR 1991, Environmental management in the Soviet Union, Vol. 4, CUP Archive.
Sheikhshoaie, I, Sheikhshoaei, M & Ramezanpour, S 2018, Synthesis and characterization of nano sized ZnO and CdO by direct thermal decomposition of their nano sized metal Schiff base complexes. Chemical Methodologies, 2: 103-113.
Siebert, S & Teizer, J 2014, Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41: 1-14.
Tulloch, AJ, Mortimer, N, Ireland, TR, Waight, TE, Maas, R, Palin, JM, Sahoo, T, Seebeck, H, Sagar, MW, Barrier, A & Turnbull, RE 2019, Reconnaissance basement geology and tectonics of South Zealandia. Tectonics, 38: 516-551.