bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerating Subsurface Data Processing and Interpretation with Cloud-Based Full Waveform Inversion Systems
Authors: Chaleunxay Sirivan , Shah Nikhil 
Published: December 2021

Abstract
Understanding the earth's subsurface is critical to the needs of the exploration and production (E&P) industry for minimizing risk and maximizing recovery. Until recently, the industry's service sector has not made many advances in data-driven automated earth model building from raw exploration seismic data. But thankfully, that has now changed. The industry's leading technique to gain an unprecedented increase in resolution and accuracy when establishing a view of the interior of the earth is known as the Full Waveform Inversion (FWI). Advanced formulations of FWI are capable of automating subsurface model building using only raw unprocessed data.
Cloud-based FWI is helping to accelerate this journey by encompassing the most sophisticated waveform inversion techniques with the largest compute facility on the planet. This combines to give verifiable accuracy, more automation and more efficiency. In this paper, we describe the transformation of enabling cloud-based FWI to natively take advantage of the public cloud platform's main strength in terms of flexibility and on-demand scalability. We start from lift-and-shift of a legacy MPI-based application designed to be run by a traditional on-prem job scheduler.
Our specific goals are to (1) utilize a heterogeneous set of compute hardware throughout the lifecycle of a production FWI run without having to provision them for the entire duration, (2) take advantage of cost-efficient spare-capacity compute instances without uptime guarantees, and (3) maintain a single codebase that can be run both on on-prem HPC systems and on the cloud. To achieve these goals meant transitioning the job-scheduling and "embarrassingly parallel" aspects of the communication code away from using MPI, and onto various cloud-based orchestration systems, as well as finding cloud-based solutions that worked and scaled well for the broadcast/reduction operation. Placing these systems behind a customized TCP-based stub for MPI library calls allows us to run the code as-is in an on-prem HPC environment, while on the cloud we can asynchronously provision and suspend worker instances (potentially with very different hardware configurations) as needed without the burden of maintaining a static MPI world communicator.
With this dynamic cloud-native architecture, we 1) utilize advanced formulations of FWI capable of automating subsurface model building using only raw unprocessed data, 2) extract velocity models from the full recorded wavefield (refractions, reflections and multiples), and 3) introduce explicit sensitivity to reflection moveout, invisible to conventional FWI, for macro-model updates below the diving wave zone. This makes it viable to go back to older legacy datasets acquired in complex environments and unlock considerable value where FWI until now has been impossible to apply successfully from a poor starting model.
Asset Integrity of Gas Storage Sphere Legs Using Advanced Technologies
Authors: Vajpayee Ankit 
Published: December 2021

Abstract
The inspection of the steel legs that hold up gas storage spheres has been difficult because of the thickness of cement that is applied to the legs to make them "fireproof". The cement contains steel studs that are welded to the legs and wire mesh that may vary in mesh size, all of which complicate the inspection possibilities. A new, low frequency AC scanning technique has been developed which can detect corrosion under fireproofing (CUF). The technique and its industry-supported development is described.
Overcoming CO2 Injector Well Design and Completion Challenges in a Carbonate Reservoir for World's First Offshore Carbon Capture Storage CCS SE Asia Project
Authors: Picha Mahesh S. , Abu Bakar M. Azuan B. , Patil Parimal A. , Abu Bakar Faiz A. , Das Debasis P. , Tiwari Pankaj K. 
Published: December 2021

Abstract
Oil & Gas Operators are focusing on zero carbon emission to comply with government's changing rules and regulations, which play an important role in the encouragement of carbon capture initiatives. This paper aims to give insights on the world's first offshore CCS project in carbonate reservoir, where wells will be drilled to inject CO2, and store produced CO2 from contaminated fields. To safeguard the storage containment, the integrity of all wells needs to be scrutinized.
Development wells in the identified depleted gas field are more than 40 years old and were not designed with consideration of high CO2 concentration in the reservoir. In consequence, the possibility of well leakage due to accelerated corrosion channeling and cracks, along the wellbore cannot be ignored and require careful evaluation. Rigorous process has been adopted in assessing the feasibility for converting existing gas producers into CO2 injectors. The required defined basis of designs for gas producer and CO2 injection wells differs in a great extent and this governs the re-usability of wells for CO2 injection or necessity to be abandoned. Three (3) new CO2 injectors with fat to slim design approach, corrosion resistant alloy (CRA) material and CO2 resistant cement are designed in view to achieve lifecycle integrity. Optimum angle of 53 deg and maintaining the injection pressure of 50 bar at 90 MSCFD rate is required for the injection of supercritical CO2 for 20 years. During well execution, challenges such as anti-collision risk, total loss scenarios while drilling in Carbonate reservoir need to be addressed before execution.
The completion design is also focusing on having minimal number of completion jewelries to reduce pressure differential and potential leak paths from tubing hangar down to the end of lower completion. The selection of downhole safety valve (TRSV) type is of high importance to accommodate CO2 phase attributes at different pressure/temperature. Fiber Optic is included for monitoring the migration of CO2 plume by acquiring seismic survey and for well integrity by analyzing DAS/DTS data.
The Optimistic View to Uncertainty. Benefits of Real Option Valuation Methodology in Project Valuation; Example of its Application for a Rail Terminal Modification Project
Authors: Andreev Nikita Anatoljevitsj 
Published: December 2021

Abstract
The two main factors that drive the shift to liquid cracking in the Middle East are the restricted availability of ethane and the fact that naphtha or mixed feed cracking provides us with a much more diverse product mix. This opens the path to a higher share of performance chemicals. Building petrochemical complexes based on liquid or mixed feed cracking requires very complicated downstream configurations at a high level of integration with refinery streams. The value created by such a project rests on the ability of the operator to solve complex optimization problems in a volatile market environment. Inevitably, the correctness of the investment decision rests on the ability of the management to determine the value of the project under conditions of uncertainty regarding the future market prices. This paper demonstrates how the approach that was developed originally for the option valuation, can be used to address the problem of project assessment under the conditions of uncertainty. A real-life example of an investment decision about a modification of a rail terminal is used to illustrate the problem and to present a solution to it. Building on this example further, the paper argues that the method of Real Option valuation can support a creation of a competitive advantage in the conditions of uncertainty.
Machine Learning Predictive Models to Estimate the Minimum Miscibility Pressure of CO2-Oil System
Authors: Chemmakh Abderraouf , Merzoug Ahmed , Ouadi Habib , Ladmia Abdelhak , Rasouli Vamegh 
Published: December 2021

Abstract
One of the most critical parameters of the CO2 injection (for EOR purposes) is the Minimum Miscibility Pressure MMP. The determination of this parameter is crucial for the success of the operation. Different experimental, analytical, and statistical technics are used to predict the MMP. Nevertheless, experimental technics are costly and tedious, while correlations are used for specific reservoir conditions. Based on that, the purpose of this paper is to build machine learning models aiming to predict the MMP efficiently and in broad-based reservoir conditions. Two ML models are proposed for both pure CO2 and non-pure CO2 injection. An important amount of data collected from literature is used in this work. The ANN and SVR-GA models have shown enhanced performance comparing to existing correlations in literature for both the pure and non-pure models, with a coefficient of R2 0.98, 0.93 and 0.96, 0.93 respectively, which confirms that the proposed models are reliable and ready to use.
The Invention and Application of Typical Points-Based Well Log Correlation and Picking Up Technology
Authors: Deng Ya , Li Yong , Zhang Wenqi , Hu Dandan , Tian Zhongyuan , Xu Jiacheng , Liu Dawang , Ma Ruicheng , Wang Yuning , Huang Ruijie 
Published: December 2021

Abstract
This paper proposes a new method called typical points-based well log correlation and picking up technology and provides several related application examples based on this method.
The new method firstly determines representative extreme points, typical or characteristic points by analyzing the characteristics of logging curves and lithology of different wells, which are generally representative points with special geological significance, including the points with the best physical properties or tight points. (For example, the maximum flooding surface or exposed surface in a sedimentary cycle, etc.). On the basis of these characteristic points, we carry out stratigraphic correlation and tracking between wells to obtain a data set of a series of characteristic points. From the same characteristic point, all points have the same or similar petrophysical properties, and the logging curve values of these characteristic points are extracted. And then analyze the change trend, distribution characteristics and the internal relationship of the parameters of the data set of each feature point.
Based on the data set obtained from the method above, we extended it to the following application areas: 1) Through mathematical theoretical models, two free water level distribution modes and their determination workflows were established, including horizontal and tilted free water levels. 2) Perform data quality analysis and control, especially logging data analysis. 3) Exploratory application in the standardization of logging curves.4) Application in dynamic performance analysis
The new method is developed on the traditional stratigraphic correlation method and stratal slicing method (Zeng Hongliu, 1998) and then used for well log data extraction and analysis. It is a practical means and technique for geological analysis. The application effect shows that the it is reliable, convenient and practical.
Core Scale FEM Modeling of Thermochemical Fracturing on Cement Cube Samples
Authors: Tariq Zeeshan , AlNakhli Ayman , Abdulraheem Abdulazeez , Mahmoud Mohamed 
Published: December 2021

Abstract
Brownfields and depleting conventional resources of fossil fuel energy are not enough to fulfill the tremendously increasing energy demands around the globe. Unconventional oil and gas resources are creating a huge impact on the enhancement of the global economy. Tight rocks are usually located in deep and high-strength formations. In this study, numerical simulation results on a new thermochemical fracturing approach is presented. The new fracturing approach was implemented to reduce the breakdown pressure of the unconventional tight formations. The hydraulic fracturing experiments presented in this study were carried out on ultra-tight cement block samples. The permeability of the block samples was less than 0.005mD. Thermochemical fracturing was carried out by a thermochemical fluids that caused a rapid exothermic reaction which resulted in the instantaneous generation of heat and pressure. Different salts of nitrogen such as sodium nitrite and ammonium chloride were used as a thermochemical fluid. The instantaneous generation of the heat and pressure caused the creation of micro-cracks. The fracturing results revealed that the novel thermochemical fracturing was able to reduce the breakdown pressure in ultra-tight cement from 1095 psi to 705 psi. The reference breakdown pressure was recorded from the conventional fracturing technique. A finite element (FEM) analysis was conducted using commercial software ABAQUS. In FEM, two approaches were used to model the thermochemical fractures namely, cohesive zone modeling (CZM) and concrete damage plasticity models (CDP). The sensitivity analysis of peak pressure and time to reach the peak pressure is also presented in this study. The sensitivity analysis can help in better designing thermochemical fluids that could lead to the maximum generation of micro-cracks and multiple fractures.
Four Ways to Store Large Quantities of Hydrogen
Authors: Londe Louis François 
Published: December 2021

Abstract
Hydrogen can be stored in underground caverns or geological structures in one of four ways.
The easiest way to store hydrogen is in salt caverns. These are created by injecting fresh water or water with low salt content into a well down to a salt geological layer, with the extraction of salt-saturated brine. The caverns measure between 50 and 100 metres in diameter and up to several hundred meters tall where the salt formation is thick enough. Salt caverns are not lined, as the salt itself acts as a sealant. This type of storage is suitable for storing hydrogen at extremely high pressures where the salt layer is deep enough.
The second way to store large quantities of hydrogen is to inject pure hydrogen or a hydrogen-methane mix into porous rock, in a depleted oil or gas field, or an aquifer. The hydrogen content may vary from a few per cent to 100 per cent. Reservoir and biochemical testing/modelling are to be performed accordingly. The hydrogen-methane mix can be withdrawn and injected into the network. Alternatively, hydrogen can be separated from methane at the well head, for example using pressure swing adsorption technology.
Hydrogen can also be stored underground by converting it into a liquid carrier, such as ammonia, which can then be stored in a Lined Rock Cavern. A liner is required to prevent contact between ammonia and water. The pressure and temperature are adapted to optimise the entire supply chain. The advantage of using ammonia is that proper storage conditions can be fulfilled without the need for excessive pressure or temperature.
Lastly, hydrogen can be stored underground by directly injecting it into a Lined Rock Cavern. This may take the form of compressed storage (gaseous hydrogen) or cryogenic storage (liquid hydrogen), the choice once again depending on the supply chain as a whole. A liner is required owing to extremely high pressures or extremely low temperatures. It should be noted that storing hydrogen in a Lined Rock Cavern involves a few technical difficulties that have yet to be resolved.
These four underground hydrogen storage techniques differ in terms of their technology readiness level (TRL) and cost. All four will likely be required in the coming years to satisfy the needs of a booming market.
Preoperative CT Simulation of Iliosacral Screws for Treating Unstable Posterior Pelvic Ring Injury
Authors: Zhao Peishuai , Wang Xiaopan , Chen Xiaotian , Guan Jianzhong , Wu Min 
Published: December 2021

Abstract
BackgroundPercutaneous iliosacral screw placement is an important surgical method for the treatment of pelvic unstable fractures, but either intraoperative X-ray screws or navigational screws may be misplaced. This study aimed to demonstrate a safe, effective, and rapid medthod for placing iliosacral screws for the treatment of unstable posterior pelvic ring injury according to preoperative computed tomography (CT) planning using simulated screws. MethodsAfter preoperative CT simulation of iliosacral screws planning screw insertion point and trajectory, intraoperative percutaneous iliosacral screws were used to treat unstable pelvic posterior ring injury.The mechanism of injury, Tile classification, number of screw implants, operative time of each screw implantation, radiation exposure time of each screw implantation screw position, complications, and postoperative follow-up time were collected.Screw position grading was evaluated by Smith grading. ResultsA total of 24 screws were implanted in 21 patients (9 men and 12 women;mean age 41.3 years:range 14-71 years). Tile classification included:Tile B:15 patients;Tile C:6 patients. The mean placement time of each screw was 19.5 minutes (range 14-32min); Radiation exposure time: 0.6 min (range 0.5-0.9min); Two screws were inserted in 3 patients; One screw was inserted in 18 patients; According to Smith grading standard, grade0:20 cases; and Grade1:1 case; Mean postoperative follow-up time was 17.1months (range12-25 months); None of the patients showed nonunion. Conclusions﻿Preoperative CT simulation of iliosacral screws for placement planning, screw trajectory, and intraoperative placement of screws is a safe method that can be used to reduce surgical time, radiation exposure, and accurate screw placement.
Investigation of The Effects of The Toll-Like Receptor 4 Pathway on Immune Checkpoint Vista in Pancreatic Cancer
Authors: Topcu Kübra Sena Bas , KORUCU Emine Nedime , Menevse Esma , Kocak Nadir , Duran Tugce 
Published: December 2021

Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most common malignant tumors of the pancreas. Preclinical studies show that it evades the immune system with immune checkpoints and promotes tumor development. V-domain Ig suppressor of T cell activation (VISTA) is a new immune-check point from the B7 family and is highly expressed in cancer cells. Overexpression of toll like receptor 4 (TLR4) in pancreatic adenocarcinoma is associated with inducing tumorigenesis, tumor growth and resistance to chemotherapy. Naloxone is an opioid and inhibits TLR4-ligand association. In this study, we investigated the connection of TLR4 and downstream pathway with immune-check point VISTA in pancreatic cancer proliferation. We first collected pancreatic cancer-related datasets using the GEPIA2 and UALCAN databases. Based on the data obtained the effect of different concentrations and incubation times of Naloxone were used on PANC-1 cells proliferation. Combination of Naloxone and VISTA-siRNA were applied, and effect of both Naloxone and combined reatment on TLR4, Interleukin 1 receptor associated kinase 4 (IRAK4) and VISTA gene expression were analysed in pancreatic cancer cells. As a result of analysis with Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR), gene expression levels of TLR4, IRAK4 and VISTA were significantly suppressed and cell proliferation was significantly reduced. We found that administration of Naloxone and VISTA-siRNA in combination to PDAC cells suppressed signaling. Therefore, we considered that the relationship between VISTA and TLR4 signaling pathways and the other possible associated signal molecules may be an important marker in determining the response of immune checkpoint inhibitors in cancer treatment.
Social Progress and Corporate Culture
Authors: Zentefis Alexander , Gorton Gary 
Published: December 2021

Abstract
Social progress through improved treatment of minority groups (e.g., forbidding racial or sexual harassment) may or may not spread to corporate cultures through competition. We provide a theory of corporate culture, and we show that emergent, progressive corporate cultures can displace existing, regressive ones only when the prevailing wage gap is large between majority and minority groups. Wider cultural differences between groups make progress less likely. The model provides testable predictions on racial and gender wage gaps across firms.
Potential Distribution of Blumea Balsamifera in China Using MaxEnt and The Ex-Situ Conservation Based on its Effective Components and Fresh Leaf Yield
Authors: Guan Lingliang , Yang YuXia , Jiang Pan , Mou Qiuyu , Gou Yunsha , Zhu Xueyan , Xu Yingwen , Wang Rulin 
Published: December 2021

Abstract
Blumea balsamifera is a famous Chinese Minority Medicine, which has a long history in Miao, Li, Zhuang and other minority areas. In recent years, due to the influence of natural and human factors, the distribution area of B. balsamifera resources has a decreasing trend. Therefore, it is very important to analyze the suitability of B. balsamifera in China. Following three climate change scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) under 2050s and 2070s, geographic information technology (GIS) and maximum entropy model (MaxEnt) were used to simulate the ecological suitability of B. balsamifera. The contents of L-borneol and total flavonoids of B. balsamifera in different populations were determined by gas chromatography (GC) and ultraviolet spectrophotometry (UV). The results showed that the key environmental variables affecting the distribution of B. balsamifera were mean temperature of coldest quarter (6.18-26.57 ℃), precipitation of driest quarter (22.46-169.7 mm), annual precipitation (518.36-1845.29 mm) and temperature seasonality (291.31-878.87). Under current climate situation, the highly suitable habitat was mainly located western Guangxi, southern Yunnan, most of Hainan, southwestern Guizhou, southwestern Guangdong, southeastern Fujian and western Taiwan, with a total area of 24.1×104 km2. The areas of the moderately and poorly suitable habitats were 27.57×104 km2 and 42.43×104 km2, respectively. Under the future climate change scenarios, the areas of the highly, moderately, and poorly suitable habitats of B. balsamifera showed a significant increasing trend, the geometric center of the total suitable habitats of B. balsamifera would move to the northeast. In recent years, the planting area of B. balsamifera has been reduced on a large scale in Guizhou, and its ex situ protection is imperative. By comparison, the content of L-borneol, total flavonoids and fresh leaf yield had no significant difference between Guizhou and Hainan (P > 0.05), which indicated that Hainan one of the best choice for ex-situ protection of B. balsamifera.