Utilizing integrated artificial intelligence for characterizing mineralogy and facies in a pre-salt carbonate reservoir, Santos Basin, Brazil, using cores, wireline logs, and multi-mineral petrophysical evaluation

Rangel Gavidia, Jean Carlos; Furlan Chinelatto, Guilherme; Basso, Mateus; da Ponte Souza, Joao Paulo; Soltanmohammadi, Ramin; Campane Vidal, Alexandre; Goldstein, Robert H.; Mohammadizadeh, SeyedMehdi

doi:10.1016/j.geoen.2023.212303

Cited by 15 publications

(1 citation statement)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Utah's law, Section 4, contracts made with computer programs or other electronic agents are treated as valid. Particularly helpful for negotiators who have begun to adopt and employ artificial intelligence and robotics technology in the course of negotiations (Temte, 2019;Deebak & Fadi, 2021;Roudini et al, 2020;Gavidia et al, 2023;Kalantari et al, 2022;Abbasi et al, 2023;Dehghan and Naghibi Iravani, 2022;Amiri et al, 2023;Malmir et al, 2023) are these provisions of the law.…”

Section: 3mentioning

confidence: 99%

Towards Standardized Regulations for Block Chain Smart Contracts: Insights From Delphi and Swara Analysis

2024

AJM

View full text Add to dashboard Cite

The rise of digital currency and the public ledger Block Chain has led to the development of a new type of electronic contract known as "smart contracts." For these contracts to be considered valid, they must adhere to traditional contract rules and be concluded without any impediments. Once written, encrypted, and signed, smart contracts are recorded in the Block Chain Ledger, providing transparent and secure record-keeping. Smart contracts offer several benefits, including their ability to execute automatically without requiring human intervention, their provision of public visibility of contract provisions on the Block Chain, their avoidance of financial crimes like Money Laundering, and their prevention of contract abuses. However, disputes arising from smart contracts still require human intervention, presenting unique challenges in enforcing these contracts, such as evidentiary issues, enforceability of waivers of defenses, and jurisdictional and choice-of-law considerations. Due to the novel nature of smart contracts, there are currently no standardized regulations that apply to them. Countries that have approved them have turned to customary law to legitimize their use. The Delphi method was used to identify critical success factors for applying blockchain transactions in a manufacturing company. Stepwise Weight Assessment Ratio Analysis (SWARA) was then utilized to determine the most influential factors. The proposed methodology was implemented, and results show that the most influential factors for the successful application of blockchain transactions as smart contracts in a manufacturing company are: turnover, the counter argument, vision, components for building, and system outcome quality. Conversely, connections with government entities and subcontractors, and the guarantee of quality have the least influence on successful implementation. These findings can contribute to the development of a legal framework for smart contracts in a manufacturing company.

show abstract

Section: 3mentioning

confidence: 99%

Towards Standardized Regulations for Block Chain Smart Contracts: Insights From Delphi and Swara Analysis

2024

AJM

View full text Add to dashboard Cite

show abstract

Testing the effect of UHPFRC jacket thickness and steel fiber volume fraction on NSC‐UHPFRC column compressive behavior

Le,

Tran

2024

Structural Concrete

View full text Add to dashboard Cite

Several efficient applications of ultrahigh‐performance fiber‐reinforced concrete (UHPFRC). Among them are UHPFRC jackets utilized for strengthening or permanent formworks of the steel reinforcing normal strength concrete (NSC) columns since UHPFRC jackets could enhance the compressive strength and other properties of the NSC column. However, the efficiency of a UHPFRC jacket simultaneously depends on its thickness and the added steel fiber volume fraction. The paper aims to explore the interaction effect of UHPFRC jacket thickness and steel fiber volume fraction on the behavior of UHPFRC jackets confining the NSC core under compressive load. The circular ultrahigh performance concrete jacket filled inside with the normal strength concrete, named NSC‐UHPFRC column specimen, is tested under loading on the NSC core. UHPFRC jacket thickness of 18‐49 mm with three adding steel fiber volume fractions was conducted for the experimental study. The investigation and analysis of the effect of the UHPFRC jacket and the steel fiber volume fraction on compression behaviors of NSC‐UHPFRC columns proceeded after the compressive strength test results were validated using Richart's model. This comprised a review of various parameters such as specimen failure pattern, stress–strain relationship, and ductile indices. The Weibull distribution was employed to explain the interaction effect on the variation in the experimental results. Finally, an interaction model was proposed and used to discuss the interaction effect of UHPFRC jacket thickness and steel fiber volume fraction and the optimum condition of the compressive strength of the NSC‐UHPFRC columns.

show abstract

Early Crop Disease Identification Using Multi-fork Tree Networks and Microbial Data Intelligence

Ittannavar,

Khot,

Vishnoi

et al. 2024

Microorganisms for Sustainability

View full text Add to dashboard Cite

Utilizing integrated artificial intelligence for characterizing mineralogy and facies in a pre-salt carbonate reservoir, Santos Basin, Brazil, using cores, wireline logs, and multi-mineral petrophysical evaluation

Cited by 15 publications

References 53 publications

Towards Standardized Regulations for Block Chain Smart Contracts: Insights From Delphi and Swara Analysis

Towards Standardized Regulations for Block Chain Smart Contracts: Insights From Delphi and Swara Analysis

Testing the effect of UHPFRC jacket thickness and steel fiber volume fraction on NSC‐UHPFRC column compressive behavior

Early Crop Disease Identification Using Multi-fork Tree Networks and Microbial Data Intelligence

Contact Info

Product

Resources

About