bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Drilling Efficiency in Soft and Plastic Formation: A Field Trial of Hyperbolic Diamond Element (HDE) Bits in Eastern Offshore Basin and Assam-Arakan Basin, India
Authors: Prakash S. , Zayyan M. , Narayanan S. , Haque A. M. , Soi A. , James B. , Menon R. , Sharma V. K. , Nandi D. 
Published: October 2023

In the ever-evolving landscape of the oil and gas industry, infill drilling plays a crucial role in maximizing reservoir recovery. It involves drilling additional wells within an existing field to efficiently extract remaining hydrocarbon resources. While infill drilling itself is vital, the speed at which it is conducted becomes equally significant. A larger number of wells drilled in a year will in turn ensure higher production by tapping into the small leftover patches of oil and gas in any mature field. Assam-Arakan Basin, Cambay Basin, and Eastern Offshore Basin are three such similar mature fields in India where the operator drills a huge number of infill wells to meet production targets. Accelerated infill drilling also contributes to improved field development, enhanced reservoir management, and mitigated reservoir risks. The economic viability of infill projects is significantly enhanced by reducing drilling cycle times and achieving cost savings. As the industry strives to unlock the full potential of existing fields, faster infill drilling serves as a key enabler for sustainable and profitable hydrocarbon extraction in an evolving energy landscape.
The Assam-Arakan Basin in northeastern part of India is the oldest oilfield in India and has been in production since 1901. The field reached its plateau of production around 1970–1990 and has been on a declining curve lately. This basin has some unique challenges in terms of lithology being drilled; soft and sticky Girujan clay formation, abrasive Tipam sand, and problematic Kopili formation. While the Tipam sand causes a lot of wear and damage on the PDC bits, pipe sticking challenge is of primary concern in the Kopili formation. Girujan clay formation on the other hand, even after being very soft and easy to drill, causes the bulk of challenges in terms of low penetration rate and multiple trips in the tophole section due to bit balling issue.
The Cambay Basin in western India is also an aging field that has been in production since 1960s and drills a huge number of infill wells each year to meet production targets. The Cambay Basin exhibits a complex geological structure, characterized by faulted and folded formations. These structural complexities pose challenges in wellbore stability and can lead to difficulties in drilling and maintaining wellbore integrity. Lithology wise however the tophole sections do not pose a significant challenge for drill bit design. The major flat time while drilling however comes from the directional requirement of these wells where a single bit cannot drill vertical and build sections.
Carbon Capture, Utilization and Storage (CCUS) in Tight Oil Reservoir
Authors: Weixiang Cui , Chunpeng Wang 
Published: October 2023

Abstract
Low-carbon and green oil development has become the future strategy for numerous oil companies. It is crucial to implement this strategy proactively, focusing on optimizing the industrial and energy structures. The clean and efficient development and utilization of fossil energy represents the most practical approach for energy and chemical companies to achieve green and low-carbon development, while also addressing climate change. In recent years, many oil companies have been committed to a philosophy of ‘developing resources while protecting the environment, and protecting the environment while developing resources,’ with a strong emphasis on environmental preservation. They aim to enhance the quality and efficiency of their operations, fostering new competitive advantages in the realm of green and low-carbon development. As a pivotal industry in the national energy sector, it is imperative to optimize existing oil development technologies to achieve low-carbon and carbon-reducing growth.
CO2 oil recovery technology mainly includes two aspects. Vertical wells adopt CO2 fracturing + huff and puff flooding integrated technology, and horizontal wells adopt water-based fracturing + CO2 flooding technology, which utilizes the efficient penetration of CO2 in the reservoir and the effect of crude oil viscosity reduction, can greatly increase the recovery rate, and at the same time realize large-scale CO2 storage and reduce carbon emissions, which is not only realistic and economical, but also has great social benefits. Carry out technical research on CO2 oil recovery technology, form the key technology of CO2 fracturing-flooding-storage, carry out research on test areas, form a complete integrated technology system, expand the scale application of integrated technology, and become a large-scale low-permeability tight oil reservoir. Develop the main technology for production.
This technology can effectively solve the development problems in low-permeability tight oil reservoirs, and greatly improve the technical problems of tight oil reservoirs that are difficult to develop and rapid production decline. Through the integrated technology of CO2 capture, storage, and CO2 fracturing huff and puff, water Flat well CO2 huff and puff fracturing stimulation. After fracturing, CO2 realizes energy supplement and gas/oil replacement in the formation, and realizes CO2 storage and oil production stimulation.
Machine Learning Advisory System for Mitigating Downhole Vibrations for Horizontal Sections
Authors: Saadeldin Ramy , Alsabaa Ahmed , Gowida Ahmed , Gamal Hany , Elkatatny Salaheldin 
Published: October 2023

Abstract
Horizontal drilling has become a widely adopted technique in the oil and gas industry due to its ability to maximize reservoir contact and increase hydrocarbon recovery. However, one of the major challenges encountered during horizontal drilling operations is downhole vibrations, which can lead to reduced drilling efficiency, equipment failures, and increased costs. To address this issue, a Machine Learning Advisory System (MLAS) can be implemented to monitor, analyze, predict, and guide to mitigate downhole vibrations in horizontal sections. This research explores the concept of MLAS for predicting and mitigating downhole vibrations, highlighting its potential benefits and key components. A Machine Learning (ML) approach, specifically an Artificial Neural Network (ANN), was employed to predict downhole vibrations through drilling horizontal sections. Artificial Neural Network (ANN) model that utilizes surface rig sensor data as inputs to accurately predict axial, lateral, and torsional vibrations during drilling operations. The study utilized a dataset consisting of 5000 measurements specifically collected from horizontal drilling sections. To evaluate the performance of the model, two metrics were employed. The optimized ANN model demonstrated exceptional accuracy, surpassing a correlation coefficient (R) of 0.97, and maintaining an average absolute percentage error below 2.6%. These results highlight the effectiveness of the developed ANN algorithm in accurately forecasting drilling vibrations solely based on surface drilling parameters. The potential to eliminate the need for downhole sensors makes this approach more cost-effective and efficient.
Digitally Transforming EPC Brownfield Project Execution with AWP: Applying the ADKAR Change Management Model for Scalability and Improved Uptake
Authors: Robertson A. , De Vellis L. 
Published: October 2023

Abstract
This paper proposes the use of a recognised change management tool to significantly improve the successful adoption of digital technology and improve the rate of returns in project delivery.
A brief literature review confirms the low levels of digital adoption in the Energy Industry, particularly where the solutions overwhelmingly focus on technology, overlooking the people element. This paper argues that the human element is critical to success and that the adoption of a change management process will unlock easy-to-correct oversights in digital deployment. Importantly, the change management approach proposed by this paper is agnostic; anyone can use it to improve the uptake of any digital transformation regardless of industry, sector or service line.
This paper relies on a substantive case study to add context to the proposed change management approach. This case study revolves around a digital partnership that introduced Advanced Work Packaging (AWP) solutions across 28 brownfield project sites. Brownfield projects in the construction phase are a recognised area of project delivery where low rates of digital adoption prevail, and digital maturity remains stubbornly below benchmarked industries (Deloitte, 2019).
The application of a proven change management tool, coupled with the notoriously challenging business context of brownfield development, provides insights into unblocking hurdles and improving rates of digital adoption for any industry and service. As a direct outcome, through implementing these lessons learned, the reader can expect a greater return on investment from their digital transformation programme.
Case Study & Learnings of the Fastest Well Drilled in Highly Challenging Northern Region of Pakistan
Authors: Parkash Dayal , Khan Shahjahan , Sarfraz Zaman , Sabir Usama 
Published: October 2023

Wells drilled in North Pakistan are notorious for extreme tectonic stresses, pore pressure & geological uncertainties which in turn create significant amount of wellbore instability related challenges. All these problems posit extreme drilling challenges and results in significant NPT. Similar challenges were expected for the drilling of X-2 well being drilled by MOL Pakistan in TAL Block. The well was planned to be drilled to 3965m MD in J-shape profile in 147 days. However, during execution due to geological variance the target was revised to 4150m MD, and the profile was changed to S-shaped to further drill newly identified targets within the target tolerances. Despite the change in profile, increased footage and challenges on T&D, Hydraulics and Geo-mechanics front, the well targets were successfully achieved in 89 days with 30% cost savings from the project.
The conundrum for efficient drilling in North Pakistan has been long explored however several short fallings were recorded in past. The Drilling team of MOL Pakistan deployed efficient data analytics, engineering, robust communication, and quick response skills to execute this project. This paper discusses in detail the thought process adopted during planning and execution of the well. The limiters that were posited and how they were managed.
Gas Piping Condition Monitoring Deployment
Authors: Drygin Sergey , Guagnano Pierfrancesco 
Published: October 2023

Machinery Diagnostic Services (further referred as MDS) has been invited to evaluate the possibility of monitoring the intensity of induced vibration on the gas piping mounted under a road traffic bridge. In fact, the main scope is to evaluate, via the amplitude level, the risks connected to the structural integrity of the system, strictly connected to the possible condition degradation of the bridge (and in general of the structures where the piping is anchored) which can lead to interruption of the continuity of gas delivery. The objective is obtaining the information regarding the vibrational responses, the natural frequencies, and the related modal shapes, in order to optimize the distribution of permanent sensors which will be form the condition monitoring system to be installed in the immediate future.
It has to be noted that Customer does not own the bridges, but their piping structures are strongly dependent from bridges stabilities.
It has also been highlighted that in 2018, during a rainstorm on 14 August, a 210-metre section of ponte Morandi viaduct collapsed and tragically 43 people died.
Chemical Inhibitors for Asphaltene Control in the Oil Industry: A Comprehensive Review of Laboratory Experimental Techniques and Performance Evaluation
Authors: Ali Syed Muhammad Aun , Zaidi Syeda Fardees , Ali Syed Imran , Louis Clifford , Lalji Shaine Muhammadali , Haneef Javed , Ali Syed Muhammad 
Published: October 2023

Abstract
Chemical inhibitors are essential in addressing asphaltene-related challenges in the petroleum industry. This study evaluates their performance using laboratory experimental techniques and identifies suitable methods for specific functions like inhibition, dispersion, and deposition. Through a systematic literature review, this research analyzes existing laboratory techniques for assessing the effectiveness of chemical additives in managing asphaltene precipitation and deposition. The findings highlight the significance of chemical inhibitors in preventing production losses due to deposit blockages in fields. The study also examines the governing factors that impact their performance, such as additive dosage level, operating conditions, and operating medium. This research provides a comprehensive evaluation of laboratory experimental techniques, enhancing the understanding of chemical inhibitors’ mechanisms. It offers valuable insights for operating companies and service providers to select appropriate techniques for screening and selecting chemical inhibitors. The asphaltene control process through effective chemical treatment by the petroleum industry can improve operational efficiency and ensure sustainable hydrocarbon recovery from oil fields.
A Journey of FWI Offshore Abu-Dhabi – From Concept to Reality
Authors: Varghese Anish , Paul Subhrankar , Domont Sonia , Damianus Fritz , Mccarthy David , Mahgoub Mohamed , Cambois Guillaume 
Published: October 2023

Abstract
Commencing in 2018, ADNOC undertook a mega seismic campaign (Cambois et al., 2019), acquiring approximately 30,000km2 of ocean bottom sensor (OBS) data in the challenging imaging environment of offshore Abu Dhabi. The region posed difficulties due to ultra-shallow water depths, a hard water bottom, and a complex near surface. To accurately image deeper reservoirs, a precise velocity model of the complex near surface was crucial. This study discusses how FWI was utilized to overcome these challenges and its impact on velocity model building and imaging.
Although FWI is a standard technique in many geological basins, its application in the offshore Abu Dhabi region proved to be challenging. The presence of a hard water bottom resulted in strong elastic effects, while the near surface exhibited significant velocity variations and high anisotropy (with epsilon parameter &gt; 30%). Nonetheless, Hermant et al. (2022) recently achieved successful application of FWI in the offshore Abu Dhabi region. The key to their success lay in careful data selection, conditioning, and the choice of an appropriate initial model. Data was meticulously chosen to avoid interference from mud-roll and guided wave energy, and pre-conditioning was kept to a minimum. Given the high apparent anisotropy in the near surface, the selection of a good initial model was critical. Well data and Backus averaging (Backus, 1962) were utilized to generate initial velocity and anisotropy models. Diving wave updates were limited to the very near surface, while reflection data was employed to extend the model updates and incorporate higher frequency details.
Encouraged by the promising initial results, diving wave FWI was subsequently applied to a 14,000km2 area of offshore Abu Dhabi as part of an ongoing depth velocity model building process. The inclusion of the FWI model for the near surface led to a significant enhancement in the final depth velocity model and the resulting migrated image. FWI utilizing reflection data exhibited notable improvements in capturing fine details, such as karst features, within the velocity model. Consequently, FWI with reflection data was implemented in two other surveys to generate high-resolution velocity models, thereby improving structural imaging, and identifying deeper faults.
In summary, this study demonstrates that diving wave FWI successfully produced a near surface velocity model over 14,000km2, leading to substantial improvements in imaging and facilitating the delineation of deeper structures. The incorporation of high-frequency updates, including reflections, enhanced the resolution of the existing model and the interpretation of geological structures, such as faults. These findings underscore the transformative potential of FWI in velocity model building within the offshore Abu Dhabi region.
The Importance of Utilizing Organizational Culture in Achieving Organizational Excellence Models
Authors: EL-Makarem Asmaa Abou 
Published: October 2023

Abstract

Objective
The aim of this paper is to investigate the impact of Organizational Culture (OC) on achieving Organizational Excellence (OE) in the Petroleum Industry, through defining the different types of Cultures embedded in any organization- utilizing Denison Model four key cultural traits (Mission, Consistency, Adaptability, and Involvement) and measuring Organizational Excellence dimensions (Customer focus, innovation, and people commitment).

Method, Procedures, Process
A Quantitative method was chosen, with a deductive approach and positivist hypotheses, the data were collected and analyzed using the descriptive approach to test the hypotheses.
Data were collected through a survey questionnaire of (17) statements, divided into two parts; Part one: to measure the dependent variable, the OE dimensions (Customer focus, innovation, and people commitment). Part two: to measure the independent variable the OC.
The target population were the employees of the Petroleum industry. The sample used was a convenient sample of 384 employees from different Petroleum companies in Egypt. The sample included employees from managerial and non-managerial levels.

Results
The study revealed that OC-OE have a strong positive linear relationship at the level of significance 1%., which shows that OC embedded in the studied organizations has an effective role in achieving OE. In addition, the impact of OC on OE varied from one OE dimensions to another. The strongest relationship was between the OC and the OE -Innovation, then people commitment, followed by customer focus at the level of significance 1%.
Also, the paper showed how the excellence starts by excellence employees, and that OC embedded in any organization can vary from one culture trait to another, and that having a balanced culture, as well as advantaging the OE and its dimensions, will help organizations to achieve the quality excellence model program. However, having the proper culture can become a challenge to decision makers, to alter company plans, strategies, involvement of employees, adaptability, investing in innovative ideas, engage and empowering employees and enhance the customer focus strategies and consistency to cope with the regular changes in the environment; and to fit with the excellence programs to gain the benefits of excellence not only in quality but also in their market share, sales, profits, employ morale and competitiveness.
This model can be applied by various companies in many countries to assess the types of cultures in each organization, and the importance of setting a remedial plan to implement the excellence models, to be measured as a longitudinal approach to capture the changes over time in employee excellence, and level of excellence and sustainability reached.
4D-Coprocessing: Case Study Offshore Abu Dhabi
Authors: Kirstetter O. , Mahgoub M. , Cambois G. , Papillon F. , Varghese A. , Six2 B. , Reboul R. 
Published: October 2023

Abstract
Time-lapse seismic monitoring is challenging for carbonate reservoirs because of the stiffness of the rocks and the low sensitivity of their elastic properties to reservoir changes over the time-lapse of the 4D seismic. This explains why there are so few examples in the literature of successful seismic time-lapse surveys in carbonates in the Middle East. This paper presents a case study of time-lapse seismic offshore Abu Dhabi, focusing on the seismic processing part of the workflow. As the repeat acquisition survey was not designed for 4D purposes, we relied on processing to minimize the non-repeatability effects. Our methodology consisted of applying a special seismic co-processing sequence between the base and the monitor surveys with a dedicated 4D workflow, starting after Up/Down deconvolution. A rock physics model was also derived to assess and quantify the expected changes with production (in this case water injection). The Likelihood of 4D signal detectability was achieved even though seismic acquisition repeatability was very low. 4D metrics were overall improved throughout the processing despite the high non-repeatability of the two acquisitions and the independent 3D pre-processing sequences applied to both vintages. The 4D Least-squares Kirchhoff migration flow was a particularly relevant step to improve the 4D metrics. As a result of this study, we have defined best practices for 4D seismic co-processing and designed 4D metric attributes such as RMS, NRMS and predictability to assess the improvement of the seismic acquisition repeatability through 4D seismic co-processing supported by a rock-physics based petroelastic modeling.
AIML Provides the Efficiency and Precision in our Subsurface Geological Understanding
Authors: Sajid Muhammad , Rajput Seemant , Ghazali Ahmad Riza 
Published: October 2023

Abstract
We created a seismic feature recognition system based on Artificial Intelligence Machine learning (AIML) and evaluated its effectiveness and precision in comparison to conventional seismic interpretation methods. Findings indicate that performance is influenced by both the generalization of seismic features and the quality of the input data sets. Machines are more effective than conventional methods at identifying seismic characteristics, but they require transfer learning to keep up with new seismic features, necessitating the multi-model strategy covered in this study.