Sharjah National Oil Corporation (SNOC)

Sharjah National Oil Corporation (SNOC) and Emerge Commence Construction on Sharjah’s Largest Solar Plant Read more: https://lnkd.in/dy_akmJG Sharjah National Oil Corporation (SNOC) Emerge Masdar (Abu Dhabi Future Energy Company) Hatem Al-Mosa #Sharjah #Solarenergy #solarplant #RenewableEnergy

Sharjah National Oil Corporation (SNOC) and Emerge begin to build 60MWp solar plant in Sharjah, UAE. Situated at SNOC's Sajaa gas complex, the facility has a pivotal role in the city's move towards sustainable energy. Masdar (Abu Dhabi Future Energy Company) Hatem Al-Mosa hashtag #Sharjah #Solarenergy #solarplant #RenewableEnergy Michel Abi Saab

𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭: 𝐅𝐮𝐣𝐚𝐢𝐫𝐚𝐡 𝐄𝐧𝐞𝐫𝐠𝐲 𝐌𝐚𝐫𝐤𝐞𝐭𝐬 𝐅𝐨𝐫𝐮𝐦 𝟐𝟎𝟐𝟒! Register here: http://shorturl.at/1u9zD Sharjah National Oil Corporation (SNOC)#Fujairah #UAE #EMF2024 #energy #markets #oilandgas #trading #shipping #ports #refining #storage

The Emirate of Sharjah oil and gas industry leader, Sharjah National Oil Corporation (SNOC), and Emerge Limited, a joint venture between Masdar (Abu Dhabi Future Energy Company) and the EDF Group, marked a significant milestone with the groundbreaking ceremony for Sharjah's largest solar installation to date. Read more: https://lnkd.in/dy_akmJG #Sharjah #Solarenergy #solarplant #RenewableEnergy #oilandgas Hatem Al-Mosa

I’m very proud of the announcement that #Masdar’s joint venture with EDF, Emerge, has broken ground on the largest solar installation in #Sharjah to date, supporting Sharjah National Oil Corporation (SNOC)'s commitment to decarbonization and its goal of achieving #NetZero emissions by 2032. This milestone marks yet another chapter in Masdar’s ever-growing partnership with Sharjah and its leading entities such as BEEAH Group and #SNOC which are helping to build a more sustainable future in line with Sharjah and the UAE leadership’s pioneering leadership in #CleanEnergy and #ClimateAction. Congratulations to the team for their exceptionally hard work in getting this project across the line, and in particular our COO, Abdulaziz Alobaidli, as well as Michel Abi Saab, General Manager of Emerge. I’m looking forward to continuing to strengthen our partnership with Sharjah as it leads the way in the #EnergyTransition. 

Coming soon! Sharjah's largest Solar power plant. #TimeToEmerge https://lnkd.in/d2qKvryq

We are proud to announce that #Emerge, in partnership with Sharjah National Oil Corporation (SNOC), has officially broken ground on the largest solar PV plant in the Emirate of Sharjah! This landmark 60MWp solar PV plant, located at SNOC's Sajaa Gas Complex, will generate enough clean energy to offset 66,000 tons of CO2 emissions annually, contributing to a more sustainable future for the region. This project aligns perfectly with both SNOC's commitment to decarbonization and the UAE's ambitious Net-Zero 2050 strategy. By promoting renewable energy sources, this initiative represents a major step forward in the UAE's transition towards a more sustainable future. Read the full article here: https://lnkd.in/d2qKvryq The ceremony was attended by our Chairman & Masdar (Abu Dhabi Future Energy Company) COO, Abdulaziz Alobaidli, as well as our General Manager, Michel Abi Saab, SNOC’s CEO, Hatem Al-Mosa, and our Board Director & EDF Middle East’s Deputy CEO, Aurélien DELAHAYE #TimeToEmerge

Congratulations to Sheikh Mohammed bin Ahmed Al Qasimi on his appointment as Vice President of Sharjah National Oil Corporation (SNOC)! 🌟 In a #decree, the ruler of Sharjah appointed Sheikh Mohammed bin Ahmed Al Qasimi as the Deputy Chairman of the Petroleum Council in the Emirates of Sharjah and Vice President of SNOC.   Hatem Al-Mosa #Leadership #OilandGas #Sharjah #SNOC #UAE

Matthew Robert MSc PMP presenting "Strategy Development to Address the Challenges of CO2 Storage in Depleted Gas-Condensate Carbonate Reservoirs. A Case Study from the Sajaa Field" at GOTECH, Dubai Congratulations to Matthew and SNOC co-authors Siddharth Jain and Christna Golaco on the recent publication of their paper which is available from the Society of Petroleum Engineers International - https://lnkd.in/d5FB7KZz ABSTRACT: The Intergovernmental Panel on Climate Change (IPCC, 2022) states that both emissions mitigation and negative emissions efforts and technologies are required to limit average global warming to the 1.5°C projected scenario. CO2 geological storage is a negative emissions technology that is an enabler for direct air capture with CO2 storage (DACS) and bioenergy with carbon capture and storage (BECCS) (IEA, 2022) and tackles emissions in hard-to-abate sectors, such as the steel and cement industries. The International Energy Agency (IEA, 2023) estimates that sequestering 1.2 Gt of CO2 per annum by 2050 through carbon capture, utilisation and storage (CCUS) is required. Geological carbon capture and storage (CCS) will account for 95% of the sequestration (IEA, 2021), with 30 – 50% of that permanently stored in depleted oil and gas reservoirs (IPCC, 2005). The IEA (2023) states that only 45 Mt CO2 was captured in 2023. CCS projects with geological storage have concentrated on saline aquifers, such as the Quest and Northern Light projects, and in depleted fields with sandstone reservoirs, such as the Weyburn and In Salah projects. Despite their significant global potential, the focus on carbonate reservoirs and depleted gas-condensate fields has been low, reflecting in the limited amount of published material and knowledge sharing available.

Harshil Saradva presenting at GOTECH, Dubai. Congratulations to Harshil, Siddharth Jain, Matthew Robert MSc PMP and Christna Golaco on the recent publication of "Exploring the Potential of Machine Learning Technology to Generate Productivity Maps Using Offset Field Data for a Strategic Coiled Tubing Drilling Program- Onshore Sharjah, UAE" available now from the Society of Petroleum Engineers International : https://lnkd.in/gkdXfEpB Abstract Sharjah National Oil Corporation (SNOC) has operated the Sajaa gas field since the 1980s. From 2003-2006, a highly successful Underbalanced Coiled Tubing Drilling (UBCTD) campaign was executed by drilling 163 multilaterals for production enhancement. SNOC utilized this huge data repository two decades later by performing a data science study. The objective was to improve the understanding of the reservoir and drilling methodologies for an adjacent gas storage field for productivity enhancement. A Machine Learning methodology was used to distribute reservoir model properties contributing to lateral placement planning. Building on the work published in SPE-216458-MS, the team determined critical relationships between various G&G reservoir model and drilling parameters in this second phase of the study. The Sajaa G&G model properties such as porosity, permeability, biostratigraphic zone and saturations were extracted and integrated with the UBCTD legacy dataset, including measured gas rates, productivity index and well trajectories. A machine learning (ML) algorithm was trained on this integrated dataset to predict the measured productivity gained per foot from the G&G model properties at each model cell. The Sajaa-trained ML model was then pointed to the G&G model at the adjacent gas storage field and used to generate a PI/ft map for each biozone of the gas storage field. These maps were used with HCPV maps to define the sweet spot areas to target future drilling in the adjacent gas storage field. The ML model trained on Sajaa showed an 84% accuracy between the measured and predicted PI/ft at Sajaa. This high accuracy increased the confidence in applying the trained model to the gas storage field to generate PI/ft maps at the gas storage field. The outcomes form the basis of the multilateral placement for the UBCTD planned in three development wells to improve the well capacities by over 1.5 times This paper demonstrates the value of data science and analytics on legacy data, where technology reduces drilling and sub-surface uncertainty for a critical development project.