Complete Design Research Articles

Disturbance observer-based fixed-time control for hypersonic morphing vehicles with uncertainties

Abstract The attitude-tracking problem of hypersonic morphing vehicles (HMVs) is investigated in this research. After introducing variable-span wings, the optimal aerodynamic shape is available throughout the entire flight mission. However, the morphing wings cause significant changes in aerodynamic coefficients and mass distribution, challenging the attitude control. Therefore, a complete design procedure for the flight control system is proposed to address the issue. Firstly, the original model and the control-oriented model of HMVs are built. Secondly, in order to eliminate the influence caused by the multisource uncertainties, an adaptive fixed-time disturbance observer combined with fuzzy control theory is established. Thirdly, the fixed-time control method is developed to stabilise hypersonic morphing vehicles based on a multivariable sliding mode manifold. The control input can be obtained directly. Finally, the effectiveness of the proposed method is proved with the help of the Lyapunov theory and simulation results.

Effects of abattoir wastewater on the growth of <i>Solanum lycopersicum</i> L. (tomato)

With the growing necessity to use wastewater for irrigation due to water scarcity, farmers face the challenge of using wastewater containing non-profiled nutrients that may be detrimental to crop productivity. The study investigated the effects of water from abattoirs on tomato plant growth and development. Abattoir wastewater (AWW) was obtained from Surulere and Agege abattoirs in Lagos State. The experimental design implemented a randomized complete design (RCD) with three replications. Tomato plants were grown in experimental pots and treated with different amounts of AWW: Tap water (control), 20, 40, 60, 80, and 100%. Data on plant height, branch and leaf numbers, fruit yield, stem girth, and root length, were collected at two-week intervals for five months. Data was subjected to analysis of variance (ANOVA), and the means were separated using the Tukey HSD test at a threshold of 5% (P<0.05). The study revealed that AWW significantly increased tomato growth characteristics and fruit yield at 100% AWW concentration. Thus, AWW may be an alternative source of organic nutrients for vegetable crop irrigation and could assist farmers with the escalating issues of freshwater scarcity and drought challenges worldwide.

Prediction method for bending moment capacities and failure modes of TSOBs bolted I-beam to hollow section square column

Reported studies on T-head Square-neck One-side Bolts (TSOBs) bolted I-beam to Hollow Section Square Column (HSSC) connections demonstrated the potential of TSOB applications in terms of mechanical properties, installation construction, and cost savings [11–14]. However, existing research was limited to the connection tests and lack a systematic and complete design approach. In this paper, the method for predicting the bending moment capacities and failure modes of the connections was proposed based on the existing test researches. Besides, the Finite Element Model (FEM) of the connections was established and validated by the reported test results. A sensitive analysis on the geometric parameters of the plastic hinge line pattern for calculating the bending moment capacity of the HSSC connecting face was carried out by the validated FEM. The proposed method was compared with the numerical simulation method in terms of the predicted results of the connection structural behavior. The results show that the prediction method proposed in this paper for the connection bending moment capacities and failure modes is accurate and reliable. Moreover, the mixed patterns of Type-H bolt holes and Type-V bolt holes are recommended for the TSOBC design because of the higher bending moment capacity than the unitary bolt hole patterns.

Employment of Synchronized Chaotic SHA256 Random Number Generators along with their Application in the Field of Image Encryption

Background: Current work is associated with the deployment of synchronized chaotic Secure Hash Algorithm (SHA256) random number generators along with their application in image encryption. Methods: This study aimed to design a perfect communication system to encrypt and decrypt the images via image processing. We introduced a new sliding mode scheme for master-slave fourdimensional (4D) Lorenz-Stenflo systems to deal with the synchronization problem. Then, a new synchronized dynamic secure hash algorithm (SHA-256) was implemented to generate the dynamic random numbers. Results: An image encryption and decryption mechanism was implemented by using synchronized chaotic master-slave systems corresponding to the generated hash values. Here, the master systems were used for encryption, and the slave systems were responsible for the decryption mechanism. The complete design of this paper was implemented in a Python environment. Conclusion: The demonstration of simulation results includes the state responses, strange attractors, and synchronization error responses of master-slave chaotic systems with appropriate switching functions and control input. conclusion: An image encryption and decryption mechanism has been implemented by using synchronized chaotic master-slave systems corresponding to the generated hash values other: The complete design of this paper has been implemented on python environment

Wire-arc directed energy deposition of monolithic and bimetallic structures of maraging 250 steel

ABSTRACT Metal additive manufacturing is rapidly growing as a new paradigm in on-demand customised production, where high-performance bimetallic structures demand increasingly high-performance materials such as maraging steel grade 250 (M250). The behaviour of advanced materials in additively manufactured systems requires comprehensive understanding before it is possible to move beyond their use in simplistic monolithic designs. This study demonstrates the use of M250 in radial bimetallic near-net representative structures based on a comprehensive study of M250 in wire-arc additive depositions. Monolithic structures are first produced with minimal defects, confirmed by X-ray imaging. Phase, microstructure, and tensile properties are compared for heat-treated specimens and as-processed counterparts. EBSD and Charpy impact testing is performed, fracture morphology is compared, and microhardness is determined. Representative radial bimetallic structures are produced and similarly investigated, revealing anticipated microstructure. Our results demonstrate that a comprehensive understanding of advanced additive materials allows complete design flexibility.

Quantitative Analysis of Hydraulic Fracturing Test Site 2 Completion Designs Using Crosswell Strain Measurement

Summary The implementation of effective completion design configurations during hydraulic stimulation is critical for the economic development of unconventional reservoirs. Low-frequency distributed acoustic sensing (LF-DAS)-based crosswell strain measurement is an advanced monitoring technique used to diagnose completion design efficiency but has been primarily restricted to qualitative analysis. In this study, we apply our novel Green-function based inversion algorithm to calculate fracture geometry (i.e., width) using the Department of Energy sponsored Hydraulic Fracturing Test Site 2 (HFTS-2) data set. The adopted algorithm relies on a 3D displacement discontinuity method to construct geomechanical models inverting linear elastic strain to hydraulic fracture widths. We use the inversion algorithm to calculate dynamic fracture widths using LF-DAS data recorded at two horizontal monitoring wells with permanent optical fiber installations. The inverted fracture widths at the monitoring wells from more than 100 hydraulic fracturing stages are used to diagnose the efficiency of eight unique completion designs implemented across three fracturing wells. We develop several metrics to evaluate completion design efficiency including the evenness of fracture widths at the monitoring wells, fracture density (i.e., number of fracture hits per foot), and fracture-width-density (i.e., fracture width/stage length). We observe a significant impact on completion efficiency with varying degrees of limited entry, tapered configurations, and stage length designs. Results indicate improved hydraulic stimulation is achieved with the implementation of limited-entry designs for extended stage lengths (ESLs), but no observable trend for normal stage lengths (NSLs). Tapered configurations significantly improve efficiency for ESLs but indicate little impact on normal-length designs. Reducing the space between perforation clusters (PCs) is determined to negatively impact design performance. Additionally, our quantitative analysis describes the impact of the nearby depletion zone on completion design efficiency. The methodology developed in this study provides operators with another level of quantitative information to optimize hydraulic fracturing treatments and reduce costs associated with the development of unconventional wells.

Model Shows Computational Gains, Preserves Accuracy in Tight Rock EOR

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper URTeC 3834855, “Advanced Dual-Porosity and Dual-Permeability Model for Tight Rock Integrated Primary Depletion and Enhanced Oil Recovery Simulation,” by Daegil Yang, SPE, Tyler Do, and Changdong Yang, SPE, Chevron, et al. The paper has not been peer reviewed. _ Discrete fracture or dual-porosity modeling has been widely adopted for tight rock simulation. To represent the complex fracture heterogeneity and simplify its characterization, the authors present in the complete paper a new simulation model to holistically optimize the tight rock reservoir completion, primary depletion, and enhanced oil recovery modeling and retain the injection mechanism and simplify the complex fracture characterization to enhance computational efficiency. The model enables users to characterize different properties in multiple regions. This tool will have broad applications in supporting asset-development decisions. Introduction Traditional dual-porosity, dual-permeability (DPDK) simulation incorporates microscale fracture characterization through the shape factor (matrix/fracture coupling), which offers a significant contact area for the gas/oil mixture to represent the field response reliably. However, its homogeneous fracture network cannot be used to optimize the completion design. The authors have developed what they refer to as the advanced DPDK (A-DPDK) simulation work flow to maintain heterogeneous fracture characterization and to simplify microfracture characterization. The work flow contains the following features: - A newly derived shape-factor algorithm that can represent the scale and heterogeneity of the fracture network - Local grid refinement (LGR) that accelerates the speed of computation (five-times-faster acceleration) and improves accuracy - A fracture-characterization feature that serves as a helpful diagnostic tool to assign a flexible cutoff value for both propped fractures (PF) and unpropped fractures to enhance simulation speed and robustness - A connected PF feature that can label the effective fracture region to simplify completion design work flow and prioritize reservoir simulation The authors validated the new features implemented in the work flow systematically and demonstrated the benefits of the proposed work flow. The authors also applied the work flow in one gas-injection pilot and successfully history-matched the primary depletion and the gas-injection response. Modeling Approach The A-DPDK model design is aimed at modeling a complex fracture network using a structured grid system while maintaining the background natural fracture. In the modeling process, the main fracture network is screened and identified and its transmissibility calculated. Then, the microfracture is calculated to matrix mass transfer. This can be numerically modeled using a DPDK framework. The geometry of the hydraulic fracture network is preserved explicitly as grid cells in the fracture domain. Also, in the matrix domain, the enhanced permeability region (EPR), which represents the microfracture, is included. The mass transfer between matrix cells and the EPR is modeled as a grid-cell connection (transmissibility), and the mass transfer between the hydraulic fracture cells and the microfractures is modeled as a grid-cell connection as well. A new way of calculating the coupling term that models the mass transfer between the hydraulic fracture and the EPR and the matrix is introduced.

Productivity drivers in North American tight and shale plays: A comprehensive analysis of completion trends, stimulation parameters, and geological characteristics

This study evaluates the productivity of ten major unconventional oil and gas plays in North America, emphasizing the role of completion, stimulation, and geological factors. The primary objective is to thoroughly assess the influence of various completion, stimulation, and geological parameters on well productivity while uncovering key insights and emerging trends unique to each play.The dataset comprises 72,809 horizontal wells from 2015 to 2022 across 10 plays, encompassing 6 oil plays (Bakken, Delaware, Duvernay, Midland, Eagle Ford, and Scoop|Stack) and 4 gas plays (Haynesville, Barnett, Marcellus, and Utica). This study examines completion and fracture stimulation trends influencing the productivity of various plays, along with the significance of geological and mechanical properties.Key findings reveal that while geological characteristics, such as total organic carbon (TOC) content and brittleness, significantly impact reservoir quality, operational practices like completion design and stimulation techniques, also play critical roles in well productivity. Key insights from the analysis challenge the traditional emphasis on TOC as a sole productivity indicator, which might not be as pronounced as commonly assumed. The analysis indicates that, contrary to common beliefs, plays exhibiting both a lower brittleness index and fewer wells per pad are associated with faster fracture growth rates. Adding more wells per pad increases the minimum horizontal stress in the neighborhood, which slows fracture growth and causes it to redirect upward. Horizontal spacing plays a crucial role in enhancing productivity, especially in less productive plays which benefit from denser well development. Co-completion of wells leads to superior performance by reducing fracture-driven interactions or “frac hits”. While longer laterals increase resource contact, productivity gains are not linear. The productivity impact of increasing clusters per stage is variable, potentially limited by the stress shadowing effect.In summary, this study offers critical insights into the productivity-influencing factors across diverse shale plays, contributing to the optimization of well development and resource extraction in the future. This study not only provides technical guidance for the unconventional oil and gas developments in North America, but can also serve as a valuable guide for similar projects elsewhere.

Design and Fabrication of PVC Pipe Cutting Machine with Hot Wire Mechanism

The utilization of cutting tools presents inherent limitations, encompassing sluggish production rates, inconsistent cutting precision, and elevated manufacturing expenses in the cutting of PVC (Poly-Vinyl Chloride) pipes. Addressing these challenges requires a systematic design approach to engineers to build sustainable new mechanism for PVC pipe cutting apparatus capable of streamlined operation. This study endeavours to conceptualize and develop a unique mechanism comprised of Ni-Chrome heated wire as a replacement of traditional cutter. The design focus is aimed at enhancing the cutting operation within low cost and enhanced sustainability. The methodology for machine design encompasses a complete machine design approach for each single component if a machine utilizing Solidworks 2023, complemented by rigorous mathematical design calculations. The outcomes of this study manifest in the creation of a prototype of Ni-Chrome heated wire machine capable of cutting the pipes within thickness range from 20-35mm and more based on the heated capability of wire. Noteworthy advantages of this machine design include expedited manufacturing processes, reduced energy consumption, and enhanced labour efficiency, thereby augmenting overall productivity. Future research avenues are suggested to encompass an analysis of operator safety considerations, establishment of periodic maintenance protocols, automation, and optimization of spare parts accessibility to further refine the efficacy and longevity of the proposed system.

Expansion and Precise CRISPR-Cas9 Gene Repair of Autologous T-Memory Stem Cells from Patients with T-Cell Immunodeficiencies.

The adoptive transfer of autologous, long-lived, gene-repaired T cells is a promising way to treat inherited T-cell immunodeficiencies. However, adoptive T-cell therapies require a large number of T cells to be manipulated and infused back into the patient. This poses a challenge in primary immunodeficiencies that manifest early in childhood and where only small volumes of blood samples may be available. Our protocol describes the ex vivo expansion of potentially long-lived human T memory stem cells (TSCM), starting from a limited number of peripheral blood mononuclear cells (PBMCs). Using the perforin gene as an example, we provide detailed instructions for precise gene repair of human T cells and the expansion of TSCM. The efficiency of precise gene repair can be increased by suppressing unintended non-homologous end-joining (NHEJ) events. Our protocol yields edited T-cell populations that are ready for phenotyping, genome-wide off-target analysis, and functional characterization. Key features • Expansion and enrichment of TSCM from PBMCs using IL-7 and IL-15. • Phenotyping of TSCM. • Design of "off-the-shelf" gene-repair strategies based on knock-in of a single exon or complete cDNA and design of effective guide RNAs and DNA donor templates. • High-efficiency gene targeting using CRISPR-Cas9, recombinant adeno-associated virus serotype 6 (rAAV6), and a selective small molecule inhibitor of DNA-dependent protein kinase (DNA-PK).

Optimizing AI-Based Automated Security Patch Deployment in IoT Devices to Combat Zero-Day Exploits and Advanced Cyber Attacks

This research shows a complete security design for Internet of Things (IoT) devices. It improves security by using five methods that work together. At the beginning of the process, a machine learning-based method for ranking changes is used. Then, architectures are put in place for scalable patch distribution, anomaly detection, dynamic risk assessment, and integrating threat data. Using five connected algorithms, the purpose of this research is to create a complete security framework for Internet of Things devices. Dynamic risk assessment, scalable patch delivery, integration with threat intelligence, and anomaly detection for zero-day vulnerabilities are among its characteristics. It also identifies zero-day vulnerabilities. Furthermore, it prioritises repairs using machine learning data. Every solution seeks to address a specific component of IoT security, such as dynamic risk assessments, effective patch distribution, and patch prioritisation based on vulnerability data. It is critical to maintain the Internet of Things ecosystem's safety, flexibility, and efficiency. An integrated approach provides a strong defence against cyberattacks, which is crucial for ecosystem preservation.With this system, you can get better accuracy, flexibility, and resource use than with other methods. To help explain how the methods work, charts and flowcharts are used. The ablation study indicates that each method is important because it shows how they all help keep IoT devices safe. The suggested design considers how cyber risks are always changing to protect connected devices in a lot of different places from hackers.

Effectiveness of Bacillus subtilis ANT01 and Rhizobium sp. 11B on the control of fusarium wilt in pineapple (Ananas comosus).

Pineapple (Ananas comosus) is commonly infected by Fusarium oxysporum, causal agent of the fusarium wilt disease. Conventionally, growers use synthetic fungicides to control the disease, which lead to environmental pollution, hazardous effects on non-target organisms and risks on human health. The aim of this work was to assess the effectiveness of Bacillus subtilis ANT01 and Rhizobium sp. 11B to control fusarium wilt on pineapple plants. Four treatments derived from a complete factorial design were tested under field conditions. Treatments composed of B. subtilis ANT01 and the combination B. subtilis ANT01-Rhizobium sp. 11B decreased disease severity by 94.4% and 86.1%, respectively. On the other hand, the treatment prepared with Rhizobium sp. 11B alone showed a reduction of 75.0%. Size of leaves and nutritional condition (SPAD units) of the biocontrol agents-treated plants showed no statistical differences. Moreover, B. subtilis ANT01 decreased by 46% the initial soil population of F. oxysporum, while Rhizobium sp. 11B, B. subtilis ANT01 plus Rhizobium sp. 11B and control, showed a population reduction of 12.5%, 24.2% and 23.0%, respectively. These results make evident the potential of B. subtilis ANT01 as biocontrol agent of the pathogen under field conditions.

Inoculantes on farm à base de fungos micorrízicos arbusculares no desempenho de trigo

Abstract The objective of this work was to evaluate whether the use of on-farm inoculants based on arbuscular mycorrhizal fungi (AMF) interferes with the agronomic performance of wheat cultivars. The following treatments were applied to cultivars TBIO Calibre and TBIO Sossego: eight on-farm inoculants, i.e., Acaulospora morrowiae, Cetraspora pellucida, Claroideoglomus etunicatum, Glomus intraradices, Rhizophagus clarus, Scutellospora heterogama, and two mycorrhizal communities from native forest (NF) obtained in the Bom Princípio (BP) and in the Flores da Cunha (FC) Brazilian municipalities; and no inoculant (control). A randomized complete block experimental design was used. Mycorrhizal colonization, root morphology, and thousand grain weight were evaluated. The association between 'TBIO Sossego' and S. heterogama provided the greatest root volume, while that between 'TBIO Calibre' and C. etunicatum and between 'TBIO Sossego' and the BP NF community resulted in the best thousand-grain weight. The use of AMF, especially C. etunicatum and S. heterogama, enhances the development of the root system of wheat. 'TBIO Calibre' showed the greatest total length and quantity of very fine roots, while 'TBIO Sossego' developed a root system with the greatest surface area and quantity of thick roots. The use of on-farm inoculants affects the agronomic performance of wheat cultivars.

Adaptabilidade e estabilidade de genótipos de aveia-preta com uso da análise GGE biplot

Abstract The objective of this work was to identify the most adapted and stable genotypes for dry mass and seed yield using the genotype plus environment interaction (GGE) biplot technique. The experiment was conducted in the municipality of Frederico Westphalen, in the state of Rio Grande do Sul, Brazil, in 2018, 2019, 2020, and 2021, using five lines and two cultivars of black oat, in a randomized complete block experimental design, with three replicates. The adaptability and stability of the genotypes, as well as their behavior in the environments, were evaluated using the GGE biplot. The seed yield of black oat genotypes is highly influenced by the environmental conditions over the four studied cultivation years. The UFSMFW 2-07 genotype stands out, but shows instability. The UFSMFW 2-07 and 'UPFA 21-Moreninha' genotypes show adaptability in specific years. Mega environments are formed for the dry mass trait in 2018 and 2021 and seed yield in 2018, 2020, and 2021, whereas, 2019 is considered the year for genotype discrimination.

INTENSITAS PENYAKIT ANTRAKNOSA CABAI PADA PERLAKUAN PGPR DAN POTENSI SENSOR TERMAL UNTUK DETEKSI DINI

Chilli peppers are easily infected with anthracnose disease caused by Colletotrichum gloeosporioides. Early detection, such as temperature changes with thermal sensors before visual symptoms appear, can prevent developing more severe diseases. This study aims to evaluate the potential of anthracnose detection using thermal sensors in chilli and the intensity of anthracnose disease in applying Plant Growth Promoting Rhizobacteria (PGPR). This study used a completely randomized complete group design (RKLT). PGPR was applied twice at the seedling preparation stage and at the plant age 30 days after planting (HST). Seeds that are ready to be sown are soaked first with 3 dose treatments, namely; without pgpr as control (P0), PGPR 25 g/5 L sterile distilled water (P1) and 50 g/5 L sterile distilled water (P2). Apart from that, PGPR application was also carried out on plants aged 30 HST with no PGPR as a control (P0), a dose of 100 mL PGPR/plant (P1), 200 mL PGPR/plant (P2). The results showed that the thermal sensor has the potential as an early detection method of anthracnose disease, as seen from the difference in the temperature of chilli fruit pre-inoculation with post-inoculation by 2 - 3ºC. In addition, PGPR treatment was able to suppress anthracnose disease with the lowest disease incidence of 19,33% (P1), disease severity of 16,56% (P2) and AUDPC of 49,38 units (P1).

Evaluation of Helicopter Ship Deck Landing Control Laws in Piloted Simulations

This paper describes the implementation and the evaluation of newly designed helicopter ship deck landing control modes in a piloted simulation study. The ship deck landing modes are embedded in a model-following controller architecture. The employed control design is a complete model-following control system, which imposes the desired command model dynamics on the controlled helicopter. Different command types combined with various hold functions are implemented to make the task easier for the pilots. Three basic command modes and three advanced command modes, one without ship communication and two with ship communication, are implemented. A piloted simulation study was performed in a simulator to evaluate and compare the implemented control modes within a complete maritime scenario design. The evaluation of control modes is based on the success of helicopter ship deck landings which is assessed by a quantitative as well as a qualitative assessment. Simulation results demonstrate that the advanced command modes improved the task performance as well as reduced the pilot workload extensively in comparison to the basic command modes.

Application of Activated Carbon from Cocoa Pod Husk (Theobroma cacao L.) in Used Cooking Oil

One method for purifying used cooking oil is to utilize activated carbon derived from cocoa pod husk. Cocoa pod husk contains high cellulose, allowing it to be an absorbent material that can reduce moisture content, free fatty acids, and peroxide value in used cooking oil. This study aims to (1) determine the effect of concentration and adsorption time of cocoa pod husk activated carbon on moisture content, free fatty acids, and peroxide value of used cooking oil and (2) determine the best concentration and adsorption time of cocoa pod husk activated carbon. This study used a randomized complete factorial design consisting of two factors: concentration of cocoa pod husk activated carbon: 5%, 10%, and 15% and adsorption time: 30, 60, 90, and 120 minutes. The results after refining using cocoa pod husk activated carbon, the moisture content dropped to 0.07%-0.28%, free fatty acid content dropped to 0.79%-1.42%, and peroxide value dropped to 32.20-32.53meq/kg. The best treatment obtained was a concentration of 15% of cocoa husk activated carbon with an adsorption time of 120 minutes, which produced used cooking oil with a moisture content of 0.08%, free fatty acids of 0.79%, and peroxide value of 32.20meq/kg.

Holistic Approach Uses Electromagnetic Tools, LWD Data To Improve Reservoir Understanding

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 215519, “A Holistic Approach to Data Interpretation Combines the Strengths of Ultradeep Electromagnetic Tools With Shallow Logging-While-Drilling Data To Improve Reservoir Understanding,” by Karol Riofrio, SPE, and Nigel Clegg, Halliburton, and Luke Rawsthorne, Aker BP, et al. The paper has not been peer reviewed. _ During drilling operations, logging-while-drilling (LWD) tools, which have greater resolution than seismic, are deployed to aid in decision-making and optimize well placement. Focusing on the data sources in isolation can lead to successful wells, but placing this data in a geological context allows for more-sophisticated decision-making and leads to greater reservoir understanding. Key to linking the near-wellbore measurements with the geological models derived from seismic interpretation are ultradeep electromagnetic tools. The authors describe an approach in which all available technologies are combined to improve reservoir understanding of different depositional environments. Geological Background Deep marine turbidite deposits are recognized as an important hydrocarbon reservoir type; many recent major hydrocarbon discoveries and field developments worldwide occur in sediments deposited by turbidite currents. Turbidite deposits are characterized by a variety of elements such as large-scale erosive features, channels and channel deposits, overbank deposits, lobes, and channel/ lobe transition zones. Each of these elements contains distinctive characteristics. In this complex setting, better definition of the elements present in the reservoir significantly decreases uncertainty while drilling and can improve the completion design, lengthening well life. Applying different well-acquisition technologies such as ultradeep resistivity (UDAR) inversion and anisotropic inversion and interpretation methodologies such as petrophysical analysis, correlation with spectral decomposition volumes, and 4D seismic can help initially for well placement and subsequently for well-completion design and future development of analogous fields. Methodology The complete paper provides the background, characteristics, and advantages of the following methodologies that the authors used in the study: - 1D UDAR inversion - 3D electromagnetic UDAR inversion - 3D electromagnetic UDAR inversion for anisotropy - Spectral decomposition - 4D Seismic Case Study The strength of combining these tools can be demonstrated in the approach to understanding the results of a single well. In the target well, the main goal was to drain the remaining oil identified by 4D seismic in the target structure. Among the complexities acknowledged predrilling was an undulating oil/water contact (OWC) identified as a result of production from previously drilled wells in the area, the lithological complexity of the reservoir resulting from the turbiditic depositional environment, and the filling history of the field. Identification of these complexities highlighted that the chance of exiting the hydrocarbon-bearing zone was high because of the potential for structural uncertainty and a complex, undulating OWC.

Aplicação de ácido húmico via solo atenua os impactos adversos da alcalinidade na rosa

Abstract Alkaline stress is a major environmental factor that limits the growth and productivity of rose plants. Humic acid (HA) is a natural substance that has been shown to have various beneficial effects on plant growth and stress tolerance. Roses (Rosa hybrida L.) are among the world's most important and popular cut flowers, dominating the cut flower export market. This study investigated the effects of HA application on the physiological and biochemical properties of rose plants grown under alkaline conditions. A randomized complete design with three replicates was used. Each replicate consisted of two pots containing a single rose plant. Humic acid was applied at 0, 500, 1,000, and 2,000 mg L-1 through drenching at 15-day intervals for two months. Plants treated with 1,000 mg L-1 HA exhibited significantly higher levels of total protein, proline, catalase activity, guaiacol peroxidase activity, and antioxidant capacity. Control plants (receiving no HA) showed the highest levels of malondialdehyde and electrolyte leakage, indicating greater cellular damage. Plants treated with 500 mg L-1 HA displayed the highest sugar content and ascorbate peroxidase activity. Overall, the results of this study suggest that HA application can be an effective strategy to improve the tolerance of rose plants to alkaline stress and enhance their growth and productivity in alkaline soils.

On-Chip Tunable Active Inductor Circuit for Radio Frequency Ics

The work presents a design of a gyrator-based on-chip tunable active inductor (AI) which can become an integral part of high-frequency integrated circuits. The proposed AI uses the Floating gate technology-based PMOS (FGPMOS) simulation model, where the on-chip, non-volatile programming ability of FGPMOS is used as a tunable active feedback resistor. The circuit specifications are first derived for the application at 800MHz to 2GHz. The design is simulated at 350nm CMOS technology and shows a temperature sensitivity of 0.13mV/oC as well as a noise sensitivity of about 10.97nV/Hz. The precise programming range of inductance value from 3nH to 9nH can be achieved. The circuit has a power dissipation of 5.02mV and a moderately high-quality factor of about 120. The layout of the proposed circuit has been designed on Cadence Virtuoso and fabricated at ON-Semiconductor, C5 CMOS process foundry of MOSIS fabrication service, USA. The complete design has a chip area of 18x30µm2. The fabricated results illustrate the on-chip tuning ability of the proposed AI from 3nH to 7nH with the help of externally applied Tunnelling and Injection voltages, respectively. The proposed design also simulates a tunable bandpass filter and a tunable Low Noise Amplifier.