Spatiotemporal Morphodynamics of the Nigerian Coastline

Integrated Remote Sensing (RS) and Geographic Information System (GIS) Technology was used to predict and model the morphodynamics of the Nigerian Coastline in order to highlight mor-phodynamic active areas of threat to Oil/Gas infrastructure within coastal zone. Satellite imagery for 1987, 2002, 2015 and 2016 of the Nigerian coastline were acquired and analyzed using ArcGIS 10.5.0 software, Digital Shoreline Analysis System (DSAS v4.4) and Malthusian exponential equation Results of the satellite imagery revealed average values of end point rate (EPR) 4.17m/year and least median square (LMS) 3.54m/year for 1987 to 2016. Shoreline Area Change (SAC) was developed to aid visualization of the digitized coastline as against the poor visualiza-tion using ArcGIS software. The rates of change shows that accretion is higher than erosion and erosion is higher than accretion for some of the periods

Impact Of Artificial Intelligence And Big Data On The Oil And Gas Industry In Nigeria

This paper examines the concept of Artificial intelligence and Big Data as a field of study and its Impact on the oil and gas industry. Artificial Intelligence refers to the concept having of Computer systems that can perform tasks that would typically require human intelligence. Some such tasks are visual perception, speech recognition, decision-making and translation between languages, amongst others. “Big data” or Big Data analytics is a term often used to describe a huge or somewhat overwhelming data size that exceeds the capacity of both humans and the traditional software to process within an acceptable time and value. There is a big interface between the two concepts. AI does not stand alone; it requires big data for efficiency. AI and Big Data have brought about great impact across different industries and organizations. In the oil and gas industry, there have been an increasing installation of data recording sensors, hence data acquisition in exploration, drilling and production aspects of the industry. The industry is gradually making use of this huge data set by processing them using AI enabled tools and software to arrive at smart decisions that bring efficiency to operations in the industry. Some of such areas are analysis of seismic and micro-seismic data, improvement in reservoir characterization and simulation, reduction in drilling time and increasing drilling safety, optimization of pump performance, amongst others. Some of the solutions listed above have been successfully implemented in Nigeria, mostly by the international oil companies and some additional areas have also been impacted: managing asset integrity, tubular tally for drilling operations using RFID and the licensing and permit system by DPR. The industry has fully embraced the AI and Big Data concept, the future is very bright for more innovative solutions. However, there are still a few challenges especially in Nigeria. Some of these challenges include lack of local skilled manpower, poor data culture, security challenges in the industry’s operating areas, limited availability of good quality data, and understanding the complexity of the concept