Africa

The renewable energy sector, particularly the solar PV generation, is to play a key role in the energy transition and decarbonization process and the green hydrogen production is a subsequent element of this decarbonization process as a clean energy carrier. When power output from these renewable installations exceeds the grid requirements, instead of stopping the energy generation, that power surplus can be used to produce hydrogen by electrolysis process. Despite being a technically simple process to produce via electrolysis, fuel cost and equipment are the two most significant economical elements to consider as part of the LCOH equation and act as economical boundary conditions. Combining an in-depth analysis while applying the financial modeling toolbox, this project has evaluated specific conditions for solar PV installations in Morocco and Saudi Arabia markets in terms of a techno-economic analysis for a potential investment for green hydrogen production in 2021 as well as near future projections in 2023 and 2025. The most potential application of green hydrogen production and usage is to decarbonize heavy industries (e.g., cement and steel) that cannot be electrified but this will require an extensive transport infrastructure with low-cost incidence for the green hydrogen to be an economically viable solution. Near future projects will require public funding in the form of grants or tax redemption to scale up to economical maturity. After carrying out a detailed financial modeling and a discounted cash flow valuation model, the resulting LCOH for Morocco is $3,2695/kg while Saudi is $1,5757/kg as of the end of 2021 with a projected reduction to reach $2,3678/kg and $1,4417/kg respectively in 2025, which means that by 2025 both countries will be below the $1,5-2,5/kg green hydrogen threshold, on a competitive level with fossil fuels, enabling both countries to grasp unique commercial opportunities to lead the implementation of a green business models towards a hydrogen economy, and eventually a net zero world. The paper will elaborate on the rational driving the need for green hydrogen, will elaborate on the geopolitical framework supporting this emerging business and dives in with the techno-economic analysis while creating a 2023-2025 look-ahead. 2 SPE-214375-MS

OnePetro

doi: 10.2118/214375-MS

SPE

SPE-214375-MS

SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition

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Asia > Middle East > Saudi Arabia (1.00)
Africa > Middle East > Morocco (1.00)

Genre: Financial News (0.34)

Industry: Energy > Renewable > Hydrogen (1.00)

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Management > Asset and Portfolio Management (1.00)
Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (1.00)
Health, Safety, Environment & Sustainability > Environment > Climate change (1.00)

Technology: Information Technology (0.46)

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PetroBowl Regional Qualifiers

SPE WebsiteMay, 2023

Organization of the PetroBowl Regional Qualifiers are planned collaboratively with SPE International and the Regional Directors who operate within each PetroBowl Super Region. Each region will select up to five teams to represent them at the PetroBowl Championship. In addition to the teams from each region, the first and second place Chapters from the previous year's Championship are also invited to defend their title. A total of 32 places are available for the Championship. While COVID-19 remains a serious health and safety concern, Regional Qualifiers will be a mix of physical and virtual events depending on suitability for the region.

SPE Website

africa government, asia government, Championship, contact, europe government, event date, Exhibition, petrobowl regional qualifier, region event date, registration, SPE, team registration, team submission deadline, united states government, University, Upstream Oil & Gas, venue, zagreb student chapter team registration

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Africa (1.00)
North America > United States > Texas > Travis County > Austin (0.17)

Industry: Energy > Oil & Gas > Upstream (1.00)

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Management > Professionalism, Training, and Education (1.00)
Health, Safety, Environment & Sustainability (0.78)

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Student Paper Contests Schedule

SPE WebsiteMay, 2023

If a contest or a division is not held in your assigned region, you can request to present your paper in an assigned alternate region. Every region has only one alternate region. To make an alternate region paper request, or if the alternate region is not holding a contest, please contact spc@spe.org. COVID-19 Updates: Due to the COVID-19 outbreak and subsequent restrictions on travel, all Regional SPC competitions are aiming to run as virtual competitions. A guide on how this will be run can be found in the Student Paper Contest Video Conferencing Guide (pdf).

SPE Website

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Oceania > Australia (0.18)
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North America > Trinidad and Tobago (0.17)
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Health & Medicine > Therapeutic Area > Infections and Infectious Diseases (0.78)
Health & Medicine > Therapeutic Area > Immunology (0.78)
Energy > Oil & Gas > Upstream (0.51)

SPE Disciplines: Management (0.38)

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Abstract During well construction, it is important to know when a bit is damaged to the point where it must be tripped out and replaced with a new bit. Continuing to drill with a damaged bit or pulling out a bit prematurely are both bad decisions leading to increased drilling costs. A bit pull advisory system was therefore developed and deployed in the field to help the rig crew make better informed bit pull decisions. A bit degradation metric was first developed to estimate the wear on the drill bit as it is drilling. This bit degradation metric utilized a physics-based model to be generalizable both for vertical as well as horizontal wells. Next this metric along with other trends in data were combined using a Bayesian network to arrive at a bit effectiveness belief. This was then further combined with calculations of the time to trip out a damaged bit and replace it with a new bit, to arrive at bit pull beliefs for various scenarios of expected future ROP and distance to total depth (TD). The bit degradation metric was first applied offline on 80 historical wells that consisted of wells drilled in Egypt, North Sea and the US land, and verified to a high degree of accuracy. It was then integrated into a drilling data aggregator and deployed in the field. The physics-based model utilized in the calculation of the bit degradation metric required contextual data, which was automatically routed to the data aggregator from various data sources. The bit pull beliefs for a range of expected ROPs and distance to TD were made available both as channels that can be visualized in vertical charts as well as a heat map. When a bit pull belief suggested a trip out, the driller was first asked to monitor for drilling dysfunctions such as stick slip, bit balling, whirl, etc., and attempt to correct it. Failing that, the bit was to be pulled out. This system is now operational on rigs in Egypt, North Sea and the US, and the response from the field personnel has been positive to date. This is the first drill bit damage tracking advisory that has been deployed on a rig site data aggregator. Using the bit degradation metric and the bit pull beliefs, the rig site team is always able to determine the extent of damage to the bit and whether the bit must be pulled out or not. The system thus helps in reducing ILT and NPT costs by reducing the time drilled with damaged bits and eliminating premature trips out.

OnePetro

doi: 10.2118/214608-MS

SPE

SPE-214608-MS

SPE/IADC Middle East Drilling Technology Conference and Exhibition

Country:

North America > United States > Texas (0.48)
Europe > United Kingdom > North Sea (0.46)
Europe > Norway > North Sea (0.46)
(4 more...)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Well Drilling > Drill Bits (1.00)
Well Drilling > Drillstring Design > Torque and drag analysis (0.67)
Well Drilling > Drilling Operations > Directional drilling (0.66)

Technology: Information Technology > Artificial Intelligence > Representation & Reasoning (0.75)

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Electric Workover Rigs – A Technology in Transition

Dutta, Mitrangshu (Al Baraka Oilfield Services SAOC, Muscat, Oman)

OnePetroMay, 2023

Abstract Al Baraka Oilfield Services SAOC has supported Oman's leading oil and gas exploration and production company in the Sultanate, in servicing wells in the Oman Block 6 concession area using Conventional Workover Rigs since 2013. Workover includes primarily changing completions and casings, fishing, cementing, abandonment, milling, perforations, changing pumps/motors, upsizing wellhead, and other integrity operations. The challenge given by the Client to the Contractor was to safely and successfully commission the first two new electric-powered 550 HP Hoists. A Super Local Community Contractor (SLCC) has become the first oil and gas company in Oman to introduce ground-breaking electric-powered Workover Rigs. It is proud to declare itself as the first company in Oman to work intensively and proactively to design these modularized electric-powered workover units, able to optimize the move time between the wells, thereby creating faster turnarounds and reducing costs. This allowed the Client to bring early oil to the tanks, minimizing deferment, achieving ample savings in operations, and accelerating cash flow. Conventional workover rigs are primarily hydraulic, not electric. Compared with the Conventional units, the new Electrical hoists are equipped with the latest technology and ergonomics that ensure safe operations and faster movement between locations which reflects in the increased number of wells attended so far in 2022. Other advantages are viz. modular, less space occupation; improved control features, ability to control both torques and speed very accurately; fully automated pipe-handling systems; less maintenance expenditure and lower capital/operating investment The Electrical units are designed to enhance safety and overall performance efficiency defined by the specific application, the location of the well, and the type of work to be performed. These rigs have a more efficient power source, as electric motors convert more of the energy input into mechanical power compared to diesel engines. This is also reflected in the reduction in Non-Productive Time. Two critical features were the basis of the design of the Workover Unit, i.e. potential to take lead in energy efficiency/decarbonization and minimizing "lifting and drops" hazards by introducing automated handling mechanisms and reducing manual/human intervention. In phase II, these units will be hooked up to the Overhead Electricity Transmission Grid instead of running from diesel generators. Oman's power grid is fed by electricity produced from clean natural gas-fired turbines which emit less pollution; therefore there will be an overall saving in energy consumption and reducing pollution from burning fossil fuels, with the aspiration to reduce global carbon emissions to Net Zero by 2050, as part of the decarbonization roadmap laid down by the Ministry of Energy & Minerals in Oman, in line with the Paris Agreement's objectives of limiting global warming to 1.5°C compared to pre-industrial levels. The electric-powered WO rig concept has been so successful that the Client has incorporated these types of rigs in future new contracts as against conventional hydraulic rigs – the client has changed the contract specification in line with these Hoists. Other service providers are planning to switch to Electric WO rigs as a new trend in Oman as these units have enhanced technical features.

OnePetro

doi: 10.2118/214516-MS

SPE

SPE-214516-MS

SPE/IADC Middle East Drilling Technology Conference and Exhibition

Country:

Asia > Middle East > Oman (1.00)
Africa > Middle East > Tunisia > Mediterranean Sea > Gulf of Hammamet (0.25)
Africa > Middle East > Egypt > South Central Desert (0.25)

Genre: Research Report (0.31)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Production and Well Operations > Well Intervention (1.00)
Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (1.00)
Health, Safety, Environment & Sustainability > Environment > Climate change (1.00)

Technology: Information Technology (0.49)

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Forecasting Reservoir Pressure for Vertical Oil Well Using Supervised Machine Learning Model

Said, Laouedj (Sonatrach, Petroleum Engineering and Development Division, Hydra Algiers, Algeria)

OnePetroMay, 2023

Abstract Static pressure is one of the very important parameters for reservoir engineering, it gives us precious information about our reservoir, such as drive mechanisms, quantities of hydrocarbon in place, patterns, communication between wells, fluid behavior in the reservoir, as consequence, the measurement of this parameter must be conducted on periodical basis, to appropriately know the field and build a good model of reservoir. The advantage of this study can complete other studies that concentrate only on the oil production rate forecasting like Data Driven Production Forecasting Using Machine Learning [1], Production Forecasting in Conventional Oil Reservoirs Using Deep Learning [2], Machine Learning Prediction Versus Decline Curve Prediction: A Niger Delta Case Study [3], Decline Curve Analysis for Production Forecasting Based on Machine Learning [4] ……, in addition of static pressure evolution of wells. For instance, we can optimize through this study a number of conducted tests to measure static pressure which will minimize operating costs and the probability of accidents occurring the operations, also reduce the shutdown time of wells for completion purpose of such measurement, in addition to the possibility of using this model for other analogue wells that do not have enough pressure measurement, without the need for time and extensive study. Besides, multivariate polynomial regression machine learning algorithm has been developed in this study to predict the evolution of static pressure for existing oil wells.

OnePetro

doi: 10.2118/214526-MS

SPE

SPE-214526-MS

SPE/IADC Middle East Drilling Technology Conference and Exhibition

Country:

Asia (0.94)
North America > United States (0.94)
Africa > Middle East > Algeria (0.28)
Africa > Nigeria > Niger Delta (0.25)

Genre: Research Report (0.36)

Industry: Energy > Oil & Gas > Upstream (1.00)

Oilfield Places:

North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
North America > United States > Texas > Permian Basin > Yates Formation (0.99)
North America > United States > Texas > Permian Basin > Wolfcamp Formation (0.99)
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SPE Disciplines:

Reservoir Description and Dynamics > Formation Evaluation & Management (1.00)
Production and Well Operations > Well & Reservoir Surveillance and Monitoring (1.00)
Data Science & Engineering Analytics > Information Management and Systems > Artificial intelligence (1.00)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (0.48)

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SPE Sub-Saharan Africa

SPE WebsiteMay, 2023

African oil and gas is increasingly becoming an investment magnet as new discoveries position the continent as a guarantor of energy security to emerging Asian nations and as Africa itself seeks to enter the 21st century. Hear how current oil prices and supply chain issues affect the planning and development of fields to maintain steady operations. As other regions in the world focus on an energy transition agenda; Africa is focused on maximizing its assets' value, productivity, and resources while keeping a strong ESG guidance. For professionals and companies looking to diversify their opportunities, the continent is full of options and challenges that need to be properly considered. SPE is looking for members to volunteer on committees that manage various programs and activities.

SPE Website

africa government, Continent, educational setting, social responsibility, spe sub-saharan africa, sub-saharan africa, sustainability, sustainable development, video

Country: Africa (0.94)

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Instructional Material > Online (0.34)
Instructional Material > Course Syllabus & Notes (0.34)

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Education > Educational Setting > Online (0.78)

SPE Disciplines: Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (0.98)

Technology: Information Technology (0.55)

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Ensemble Machine Learning for Data-Driven Predictive Analytics of Drilling Rate of Penetration (ROP) Modeling: A Case Study in a Southern Iraqi Oil Field

Al-Sahlanee, Dhuha T. (BP) | Allawi, Raed H. (Thi-Qar Oil Company) | Al-Mudhafar, Watheq J. (Basrah Oil Company) | Yao, Changqing (Texas A&M University)

OnePetroMay, 2023

Abstract Modeling the drill bit Rate of Penetration (ROP) is crucial for optimizing drilling operations as maximum ROP causes fast drilling, reflecting efficient rig performance and productivity. In this paper, four Ensemble machine learning (ML) algorithms were adopted to reconstruct ROP predictive models: Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boost (XGB), and Adaptive Boosting (AdaBoost). The research was implemented on well data for the entire stratigraphy column in a giant Southern Iraqi oil field. The drilling operations in the oil field pass through 19 formations (including 4 oil-bearing reservoirs) from Dibdibba to Zubair in a total depth of approximately 3200 m. From the stratigraphic column, various lithology types exist, such as carbonate and clastic with distinct thicknesses that range from (40-440) m. The ROP predictive models were built given 14 operating parameters: Total Vertical Depth (TVD), Weight on Bit (WOB), Rotation per Minute (RPM), Torque, Total RPM, flow rate, Standpipe Pressure (SPP), effective density, bit size, D exponent, Gamma Ray (GR), density, neutron, and caliper, and the discrete lithology distribution. For ROP modeling and validation, a dataset that combines information from three development wells was collected, randomly subsampled, and then subdivided into 85% for training and 15% for validation and testing. The root means square prediction error (RMSE) and coefficient of correlation (R-sq) were used as statistical mismatch quantification tools between the measured and predicted ROP given the test subset. Except for Adaboost, all the other three ML approaches have given acceptable accurate ROP predictions with good matching between the ROP to the measured and predicted for the testing subset in addition to the prediction for each well across the entire depth. This integrated modeling workflow with cross-validation of combining three wells together has resulted in more accurate prediction than using one well as a reference for prediction. In the ROP optimization, determining the optimal set of the 14 operational parameters leads to the fastest penetration rate and most economic drilling. The presented workflow is not only predicting the proper penetration rate but also optimizing the drilling parameters and reducing the drilling cost of future wells. Additionally, the resulting ROP ML-predictive models can be implemented for the prediction of the drilling rate of penetration in other areas of this oil field and also other nearby fields of the similar stratigraphic columns.

OnePetro

doi: 10.2118/213043-MS

SPE

SPE-213043-MS

SPE Western Regional Meeting

Country:

North America > United States > Texas (1.00)
Asia > Middle East > Iraq > Basra Governorate (0.68)
Africa > Middle East > Algeria (0.68)
Europe (0.68)

Industry: Energy > Oil & Gas > Upstream (1.00)

Oilfield Places:

North America > United States > Texas > East Texas Salt Basin > Forest Hill Field > Harris Sand Formation (0.99)
North America > United States > Louisiana > East Texas Salt Basin (0.99)
Asia > Vietnam > South China Sea > Cuu Long Basin > Block 9-2 (0.99)
(10 more...)

SPE Disciplines:

Well Drilling > Drilling Operations > Drilling optimization (1.00)
Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
Reservoir Description and Dynamics > Formation Evaluation & Management > Open hole/cased hole log analysis (1.00)
(2 more...)

Technology:

Information Technology > Data Science > Data Mining (1.00)
Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
Information Technology > Artificial Intelligence > Machine Learning > Ensemble Learning (1.00)
Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (0.46)

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Numerical Investigation of Energy Production from an Enhanced Geothermal System Associated with CO2 Geological Sequestration

Xue, Zhenqian (University of Calgary) | Ma, Haoming (University of Calgary) | Chen, Zhangxin (University of Calgary)

OnePetroMay, 2023

Abstract The development of a geothermal system can supply low-carbon electricity to support the raising energy demand under the energy transition from fossil fuel to renewables. CO2 can substitute for water for energy recovery from geothermal reservoirs owing to its better mobility and higher heat capacity. Additionally, trapping injected CO2 underground can achieve environmental benefits by targeting Greenhouse gas (GHG) mitigation. In this study, different flow schemes are established to assess heat mining and geological CO2 sequestration (CCS) by injecting CO2 for the purpose of an enhanced geothermal system. The Qiabuqia geothermal field in China is selected as a study case to formulate the geothermal reservoir simulation. The results show that a pure CO2 injection into a water-saturated reservoir can provide the best performance in heat mining. Besides, this operational strategy can also provide extra benefits by producing 6.7% CO2 retention. The generated geothermal electricity under a pure CO2 injection into a CO2-saturated formation is the lowest, while its 42.1% of CO2 retention shows a promising CCS performance and the large volume of stored CO2 can supply some profits by carbon credit. Considering the assessment on heat mining and CCS, the pure CO2 injection into a water-saturated reservoir is recommended for the operation of an EGS. Under this flow strategy, well spacing, production pressure difference and fluid injection temperature are dominated in geothermal energy production. Three factors, including well spacing, production pressure difference and fracture conductivity, influence the CO2 storage capacity. In operating an EGS, a larger well spacing, a lower injection temperature and a lower fracture conductivity are suggested. While the optimal production pressure difference should be further determined to balance its effect on geothermal production and CO2 storage since it presents an opposite effect on these two parts. This work demonstrates the feasibility of heat mining associated with CO2 geological permanent storage in an EGS by injecting CO2. The proposed study proves that not only the sufficient and sustainable energy can be supplied but also a significant amount of CO2 emission can be eliminated simultaneously. In addition, the investigation of geothermal energy production and CO2 geological sequestration under different operational parameters can provide profound guidance for the operators.

OnePetro

doi: 10.2118/213041-MS

SPE

SPE-213041-MS

SPE Western Regional Meeting

Country:

Asia > Middle East > Saudi Arabia (1.00)
Asia > Middle East > Yemen (0.93)
Africa > Sudan (0.93)
(3 more...)

Genre: Research Report > New Finding (0.68)

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Energy > Renewable > Geothermal (1.00)
Energy > Oil & Gas > Upstream (1.00)

Oilfield Places: North America > United States > Louisiana > China Field (0.97)

SPE Disciplines:

Reservoir Description and Dynamics > Non-Traditional Resources > Geothermal resources (1.00)
Health, Safety, Environment & Sustainability > Environment (1.00)

Technology: Information Technology (1.00)

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Tanzanian Government, Producing Partners Sign 30 Billion Deal for LNG Export Terminal

Journal of Petroleum TechnologyMay, 2023

Equinor, Shell and Exxon Mobil have agreed to a deal with the government of Tanzania that will result in the country's first liquefied natural gas (LNG) export terminal. The deal includes Tanzania's agreement to provide a regulatory framework and a production-sharing agreement and is subject to legal reviews and quality assurance before an expected signing in the coming weeks. The agreement is another crucial step forward for the long-delayed project to develop Tanzania's vast, remote offshore natural gas reserves. Delays in the project were due in part to outstanding regulatory issues. "It paves the way for the series of milestones that need to follow to realize this fantastic LNG opportunity for the country and the world," Equinor's Tanzania Country Manager Unni Fjaer said in a statement to Reuters.

Journal of Petroleum Technology

africa government, agreement, deal, equinor, gas monetization, liquefied natural gas, liquified natural gas, LNG, lng export terminal, Midstream Oil & Gas, milestone, Shell, Tanzania, tanzania government, tanzanian government, TCF, Upstream Oil & Gas

Country: Africa > Tanzania (1.00)

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Energy > Oil & Gas > Upstream (1.00)
Energy > Oil & Gas > Midstream (1.00)
Government > Regional Government > Africa Government > Tanzania Government (0.88)

SPE Disciplines: Facilities Design, Construction and Operation > Natural Gas Conversion and Storage > Liquified natural gas (LNG) (1.00)

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Sun Powered Green Hydrogen - A Comparative Analysis from the Kingdoms Of Morocco and Saudi Arabia

PetroBowl Regional Qualifiers

Student Paper Contests Schedule

Field Deployment of a Real-Time Bit Pull Advisory System

Electric Workover Rigs – A Technology in Transition

Forecasting Reservoir Pressure for Vertical Oil Well Using Supervised Machine Learning Model

SPE Sub-Saharan Africa

Ensemble Machine Learning for Data-Driven Predictive Analytics of Drilling Rate of Penetration (ROP) Modeling: A Case Study in a Southern Iraqi Oil Field

Numerical Investigation of Energy Production from an Enhanced Geothermal System Associated with CO2 Geological Sequestration

Tanzanian Government, Producing Partners Sign 30 Billion Deal for LNG Export Terminal

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