bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Methodology for Precise Flow Contribution and Allocation in Multi-lateral Wells
Authors: Alanazi A. A. , Alharthi A. , Ogunsanwo T. , Amjad B. 
Published: November 2024

Abstract
Production allocation and optimization in multi-lateral wells is an industry-wide challenge that impacts sweep efficiency, water survival rate, and economic metrics among other key parameters. The challenge is more prevalent in heterogeneous reservoirs where both lateral and vertical heterogeneity impact production performance.
Robust understanding of the complex interaction between reservoir geology and wellbore flow dynamics is pivotal to making informed reservoir management decisions to optimize offtake from each lateral, refine lateral count, and reservoir exposure. This paper presents an integrated workflow for evaluating flow contribution and production allocation in multi-lateral wells to optimize production performance and maximize economic value. The workflow combines flow control valves, permanent downhole pressure monitoring systems, individual and commingled rate testing, with mathematical wellbore modeling to accurately evaluate flow contribution.
These optimizations are key to ensuring uniform pressure differentials among different laterals to prevent premature water breakthrough and uneven sweep patterns. This approach enables accurate production allocation without the need for frequent production logging. Moreover, the methodology enables a continuous feedback loop to evaluate the accuracy of implemented optimizations and provide guidance on further enhancements. The integrated workflow was applied in a successful field trial application, where a production log was conducted to verify the estimated production parameters. The test yielded a 95% match in fractional flow and productivity index estimation. Thus, the estimates were considered reliable and utilized for additional analysis.
When implemented at scale, the workflow has the potential to optimize the wells performance and prolong production lifecycle through making timely, effective, and well-informed decisions. In addition, it will reduce operating expense and eliminate high risk routine wireline and coiled tubing logging operations.
Flammable and Toxic Gas Risk Reduction by 3D Gas Detection Mapping Study
Authors: Jadeja S. , Haris N. 
Published: November 2024

Abstract
Gas detection systems are crucial for alerting and mitigating the risks associated with flammable or toxic gas leaks. Detecting gas releases early is key to preventing potential explosions or toxic hazards either by isolating the source promptly or manual intervention. Properly placed detectors are essential for effective gas detection. To achieve this, determining the optimal quantity and location of gas detectors is critical.
Traditional methods of detector placement have often relied on past experiences, engineering judgement, common practices, and standards. Whilst these approaches are not incorrect, they may lead to unnecessary costs and limited effectiveness in mitigating specific risks due to overlooking various factors such as different gas release scenarios, wind conditions, and obstructions. This limitation hinders users from fully optimizing their gas detection assets and accurately assessing the effectiveness of their current detection systems.
To address these challenges, a risk-based methodology for gas mapping, based on industry best practices like ISA-TR84.00.07, has been established. This methodology aims to enhance the evaluation of gas risks within a process facility and reduce these risks to an acceptable level by considering the facility's unique characteristics.
A detailed case study is presented in this paper to demonstrate how this risk-based approach can assist in evaluating gas risks and optimizing detector placement. By utilizing Influx CFD 3D Mapping Software, this methodology can help verify the preliminary locations and quantities of gas detectors proposed during the early stages of Front-End Engineering Design (FEED). The graphical results generated in 3D by the software can showcase residual risks, recommend detector placements, and provide numerical estimates of detection coverage within each fire zone, ensuring effective gas detection within each fire zone and throughout the facility.
Engineering and Operational Solutions to Drill a Challenging Hpht Exploratory Well Through a Salt Dome in Mca
Authors: Cruz A. , Ivanov R. , Juaristi J. , García J. , Salinas N. , Contreras J. 
Published: November 2024

Abstract
Due to the continuous growth of high demand for energy within the oil and gas industry in Mexico, the research for new reservoirs have led to exploring zones with high pressure and high temperature conditions (HPTH), demanding construction of wells over 150°C and 10,000 psi at their deepest point. Along with that, exploration drilling always deals with geological uncertainty, which has an impact in well placement, well trajectory, casing setting depths, geomechanics drilling fluid window, etc. which are translated mostly in an increase in costs for the project, reducing its feasibility.
Some of the most successful reservoirs in southeastern Mexico correspond to Upper Jurassic Kimmeridgian dolomites (naturally fractured reservoirs). The work presented here aims to share the challenges faced to drill a HPHT well through a salt dome to reach Upper Jurassic Kimmeridgian, and the solutions executed to overcome them.
The Characteristics of Meso-Scale Natural Fractures in Deep Shale Reservoirs and their Geo-Engineering Significance
Authors: Wu J. F. , Tong Y. M. , Gou Q. Y. , Wang G. G. , Xu E. S. , Ren X. X. , Chen J. J. , Chen Y. , Yu T. 
Published: November 2024

Abstract
Having in-depth understanding of meso-scale natural fractures in deep shale reservoirs of southern Sichuan Basin is of great importance for the effective shale gas development since natural fractures may cause real time casing deformation and decide optimal fracturing design. Existing studies mostly emphasize macro-scale natural fracture prediction using seismic data, but this is not enough anymore for current extensive development stage which demands more detailed analysis of meso-scale natural fractures. Based on multi-resolution data, i.e. cores, image logs, seismic structures and fracture-related attributes, the characteristics of meso-scale natural fractures are analyzed detailedly, including fracture distribution by zones, fracture type and dip angle, fracture intensity distribution and fillings, and fracture strike. Then the genesis of natural fractures and seismic predictability are inferred based on their characteristics and strike comparison with the trending of nearby seismic structures and seismic fracture prediction attributes. At last, the slip tolerance of all natural fractures with all attitudes from image logs is figured out based on 3D mechanical earth model (MEM) and Moor-Coulomb criterion. The conclusions in this paper provide solid geological foundation for more accurate seismic fracture prediction, 3D discrete fracture modeling, geological stability analysis and numerical simulation, which will improve the effective development of deep shale reservoirs.
A Fully Autonomous Flare Control Through Well Management System
Authors: Alharthi S. , Alawi A. , Musalhi A. , Al-lawati Z. , Sulaimi A. , Kumar N. 
Published: November 2024

Abstract
Petroleum Development Oman (PDO) is dedicated to implementing sustainable practices through digitalization of oil and gas operation, with a current focus on reducing hydrocarbon emissions. Corporate goal is to minimize emissions from Gas lift (GL) wells, ensuring environmental responsibility while maintaining production efficiency. To achieve production targets while preventing unnecessary flaring, high (Gas Oil Ratio) GOR wells are closed or partially choked by Operation engineers manually but being vigilant hasn't proven to give optimum results.
This paper details the successful implementation of autonomous flare control at a single station utilizing a well management system (WMS). Following the effective execution of the Flare Limit Control project within the WMS, a comprehensive change management strategy was deployed. Operations engineers were empowered to configure, update, and remove wells from the automated flare control scope within the WMS. Autonomous well control was achieved through continuous flare monitoring in the WMS. High Gas-Oil Ratio (GOR) wells were closed when the flare limit was exceeded, and the last closed wells were automatically reopened once the flare was reduced. Through meticulous analysis, significant improvements were noted in reducing hydrocarbon emissions, saving on deferment and huge time saving following the project's implementation. The total yearly benefit is estimated to be around 185,000 USD from increased wells' uptime and time saving from one station. An additional 0.08% cost saving is estimated from additional CAPEX to reduce CO2 emissions as per PDO corporate target. Following improvements have contributed to value estimation from automated flare control: 8% more uptime from wells which are part of flare control logic.4% engineers' time saving33% of flare reduction
The Flare control HMI (Human Machine Interface) screen offers Operation engineers a user-friendly interface, equipped with essential and informative details. The interface empowers them to effectively control flare automatically, ensuring not only minimal emissions but also reducing deferment and time saving.
The implementation of new technologies has supported in overcoming operational challenges and efficiently managing the flare. An autonomous and intelligent logic has been introduced for controlling flare in real-time taking a bold step in digital transformation journey of PDO.
Insights on Managing Generational Diversity at Workplace
Authors: Srivastava Siddhi Jitendra 
Published: November 2024

In the fast-moving, globalized, and competitive environment of today, four distinct generations are active in the workforce: Baby Boomers, Generation X, Millennials, and Generation Z. Ranging in age from 18 to 74 years, these groups span over 50 years and each has its unique challenges, strengths, and expectations. Recognizing and adapting to these generational differences is crucial for successfully managing a diverse team.
Generations can be thought of as age cohorts—groups of people who have had similar life experiences due to growing up during the same period. There are five recognized and documented age cohorts with their commonly accepted classifications as given below: Traditionalists / Silent Generation – Born before 1946Baby Boomers – Born between 1946 and 1964Generation X – Born between 1965 and 1980Millennials – Born between 1981 and 1998Generation Z – Born after 1998
Beyond Reality: Transforming Training with Virtual Reality
Authors: Dubois A. , Banda M. E. Yanez 
Published: November 2024

Abstract
This paper explores the innovative applications of Virtual Reality (VR) in training, highlighting its transformative potential in various fields. It examines how VR technology enhances learning experiences, particularly in sectors like drilling courses and geological field trips, revolutionizing traditional training methods. It discusses practical examples, benefits, and prospects of integrating VR into training programs, showcasing its ability to provide immersive, safe, and cost-effective learning environments.
Addressing the Complexities of Establishing a Comprehensive CO2 Storage Hub in the Large-Scale Saline Aquifer Offshore Malaysia
Authors: Tiwari P. K. , Das D. P. , Chidambaram P. , Tewari R. D. , Sedaralit M. , Md Noor M. Zaini 
Published: November 2024

Abstract
The rising CO2 emissions resulting from the development of high CO2 contaminated gas fields in Malaysia necessitate the identification of appropriate, secure, and capacious reservoirs for CO2 storage. Large-scale saline aquifers have emerged as promising solutions for establishing a storage hub equipped with extensive onshore injection facilities. Nevertheless, the development of a large-scale saline aquifer as a CO2 storage hub offshore Malaysia presents numerous intrinsic challenges. The current study focusses on identifying and evaluating the associated risks and uncertainties and formulating a mitigation strategy for the development of a large-scale storage hub within synrift sediments of a rift graben off the coast of peninsular Malaysia (PM).
When establishing a large-scale CO2 storage hub, it's crucial to prioritize two key elements: containment integrity and storage capacity. However, these components carry inherent risks that demand careful management throughout the storage development process. Containment integrity entails risks related to reservoir and overburden formations, structural features, and well integrity within the storage reservoirs. Conversely, storage capacity can be influenced by factors like reservoir continuity, aquifer size and strength, caprock strength, and injectivity.
The storage site was analyzed for its containment and capacity through extensive 3D data interpretation for generation of structural maps, mapping of major and minor faults, and attribute extraction, trap & seal analysis, faults & wells integrity analysis, 1D caprock integrity analysis, and effective storage capacity estimation through dynamic simulation. Dynamic simulation results of maximum storage capacity help deciding plausible mitigation plans, such as seismic data acquisition, appraisal well drilling, and coring, have been suggested to tackle these risks. However, quantifying the precise value added by these plans in terms of risk reduction presents a challenge. The workflow for this study to be used as the guideline for any future saline aquifer storage development plan feasibility study.
Real-Time Reservoir Insights: Advancing Data Accessibility with SW and PHIE Curves at Your Fingertips
Authors: Nestyagin A. , Al Mazrouei M. , Bandyopadhay I. , Ferrer A. 
Published: November 2024

Abstract

Objectives/Scope
Implemented for all drilling wells with zero cost the innovative reservoir data accessibility by making it possible to calculate and display SW and PHIE curves online in real-time. This innovative approach eliminated the need for special software and constant email updates, allowing all relevant parties to access up-to-date reservoir data from their PC or mobile phones. This project not only improved data accessibility but also increased efficiency and collaboration among team members.

Methods, Procedures, Process
Project aimed to innovate the way reservoir data is accessed by making it possible to calculate and display SW and PHIE curves online in real-time. The solution involved developing an algorithm and integrating it into an existing Real-Time monitoring software that could process reservoir data and generate SW and PHIE curves on the fly, without the need for special software or constant email updates.
The solution involved simplification of heavy software algorithms and integration it into the existed real-time monitoring platform at zero cost that could process reservoir data in real-time and generate SW and PHIE curves on the fly.

Results, Observations, Conclusions
The solution was implemented and rolled out to one of the fields in ADNOC Onshore, and the results were immediate. The team was able to access up-to-date reservoir data in real-time, without the need for special software or constant email updates. This improved the efficiency and collaboration of the team, allowing them to make more informed decisions in well placement and work together more effectively.
In summary, this project provided a solution to the challenges of accessing reservoir data by developing and integrating into the existing platform that could calculate and display SW and PHIE curves in real-time. This solution improved data accessibility, increased efficiency, and enhanced collaboration among team members. Making it possible to perform advanced geosteering in-house.

Novel/Additive Information
By making it possible to access essential Porosity and Water Saturation up-to-date reservoir data in real-time, even from mobile phone anywhere where you have internet network coverage, the project improved data accessibility, increased efficiency, and enhanced collaboration among team members. This allowed the team to make more informed decisions and work together more effectively in well placement.
Equipment Switchover and Overall Utilization Strategy
Authors: Alvarez Javier H. Sanchez 
Published: November 2024

Abstract
In the Oil and Gas industry, there are many different types of facilities, design for different stages in the hydrocarbon processing, comprised by multiple types of equipment in different arrangements, and while most companies share similar processes, facilities, and equipment they also have different visions on how their plants should be designed, how the processes are arranged, and how the equipment should be utilized.
During the preliminary design phase of an oil and gas facility, the input/output data is set and the process is licensed, then, the preliminary number of equipment required to fulfilled those process requirements are calculated and set. At this point, the RAM models are created and different scenarios are run to optimize the number of equipment to be installed in order to cover the process targets and also yield the maximum reliability levels to the plant. As result, the facility will have a number of installed machines that can be run in different patterns to meet production rates, while other remain in standby a precautionary measure should any unreliability event happened.
Following this logic, at any point in time some machines within a specific service will be running, while the rest are in standby; this fact had generated the need to elect how the machines should be utilized in order to keep them at optimal condition for operation. Whether we refer to the running machines or the idle machine, a solid equipment running philosophy should be developed to ensure every piece of equipment is available and ready to be used when needed.
To address this need, different companies in the industry had developed, deployed, and tested different approaches; while some companies assign one or more machines within the group as "Main", to continuously run to cover the duty of the service, similarly, the remaining machines are deemed as "Standby" and they are only used in the event that the main machine(s) are down for maintenance. On the other hand, other companies try to cover the service duty using all installed machines in an alternating running pattern, this approach aims to maintain the equipment reliability and availability by balancing the usage of all machines within same service.
Which philosophy is better? Well, that is very hard to answer, given that there have been multiple studies that support one strategy over the other; in this particular case, we will focus on the later, given the fact that for our organization the approach aiming for equipment utilization balance is one of the core objectives of the equipment utilization corporate strategy.
It is the objective of this document to present SGPD Equipment Switchover and Overall Utilization Strategy, starting with all the conditions that frame the program as well as the computational tools used to follow, control, and administer the equipment utilization.
Bridging the Gender Gap: Initiatives for Empowering Women in the Oil and Gas Sector in Abu Dhabi, UAE
Authors: Abudaqa Anas , Alsabiri Hassan , Alhammadi Sara , Almenhali Ahlam , Alkhawaja Ahmed , Alqubaisi Salem 
Published: November 2024

Abstract

Objectives/Scope
Our objective is to enhance gender balance in the oil and gas industry of Abu Dhabi by empowering female employees through structured initiatives. We aim to inspire, engage, and develop women professionals, addressing their unique challenges and fostering a more inclusive workplace.

Methods, Procedures, Process
Round-Table Discussions: Hosting sessions with female leaders to share their success stories and strategies for overcoming industry-specific challenges.

Executive Engagement
Organizing forums for open discussions between female employees and top executives (CEO and SVP) to address career progression and gather feedback.

Career Development Training
Conducting focused training sessions for young female employees to build essential skills, covering leadership, technical competencies, and personal branding.

Results, Observations, and Conclusions
Our initiatives have led to increased female employee engagement, improved morale, and a dynamic organizational culture. The open forums foster transparency and support, while the training sessions have prepared a robust pipeline of future female leaders. These efforts demonstrate the tangible benefits of diversity and inclusion in driving innovation and growth.

Novel/Additive Information
By sharing our experiences and best practices at ADIPEC 2024, we aim to contribute to the broader discourse on gender balance. Our comprehensive approach can serve as a model for other companies in the industry, showcasing effective strategies for fostering diversity and inclusion.
First Successful Field Test of Continuous Surveying While Drilling in Slim Hole
Authors: Anda Daniel Herrera , Hansen Christian , Hueper Andreas , Koenecke Andre , Gjertsen Morten , Pubanz Sebastian , Vogt Andreas 
Published: November 2024

Abstract
Definitive directional surveys are typically acquired off-bottom in a static environment using a measurement-while-drilling (MWD) tool embedded in the bottom hole assembly (BHA). The flow-off survey process can take up to 15 minutes. With continuous surveying it is possible to shrink the flow-off time to the drill pipe connection time, reducing the risk of stuck pipe events. Hence, it is desirable to take survey data continuously during drilling – covering a fine point grid along the borehole.
Although the concept of rotational continuous surveying (RCS) was introduced previously, the lack of proper digital signal processing within the surveying tool has made it impossible to cope with shocks and vibrations caused by the harsh drilling environment. Furthermore, the rotation of the drill string causes eddy currents to contribute an additional cross-axial offset and deteriorate results, if not properly compensated. Recent advancements in digital signal processing, algorithmic developments, and error modeling enable high-accuracy RCS. As the drill string is rotating, the raw sensor measurements from accelerometers and magnetometers are oscillating and cannot be averaged. Therefore, sensor measurements need to be transformed to allow filtering. Such a transformed survey set is created by calculating a complex envelope of the sensor signals. This approach opens the opportunity for rotational continuous surveying also for existing MWD survey tools.
As a quality assessment, RCS data from two wellbore profiles are compared statistically to static surveys by means of Chi-Square tests on direction (inclination and azimuth) as well as position, utilizing appropriate error models for static and continuous operational modes and correlation assumptions. The results verify that special attention should be paid to precise cross-axial sensor phase delay compensation prior to deriving a definitive continuous survey at surface. Such phase delays are caused by different filters in the magnetometer and accelerometer signal paths and the magnetic field induced by the eddy currents. Static-survey-like quality can only be achieved when phase shifts are correctly compensated. The paper presents results and case studies of continuous surveying with small diameter rotary steerable BHAs - an industry first. Fundamental principles, challenges, and relevant system components are outlined and a method for conducting downhole quality control is discussed. RCS has the potential to reduce costs and safety risks, and improve battery utilization, wellbore positioning, micro-dogleg detection, stuck-pipe prevention, and eliminate static survey time.