Automating Wireline Perforation and Frac Plug Set Depths into Wellsite Reporting System Using a Time-Synchronous Digital Platform and IIOT

Mapping Intimacies ◽

10.2118/206113-ms ◽

2021 ◽

Author(s):

Chad Van Buskirk ◽

Bob Duncan

Keyword(s):

Reporting System ◽

Accurate Data ◽

Collaborative Project ◽

Digital Platform ◽

Service Companies ◽

Depth Data ◽

Production Models ◽

Entry Points ◽

Data Production ◽

Stage Boundaries

Abstract During plug-and-perf zipper fracturing operations, the capture of incorrect perforation and frac plug depths plagues the future use of this data. Production models currently run on the assumptions of where stage boundaries and perforations should be - not using inputs of where they are. The entry points to the reservoir and stimulation schedule may have left considerable bypassed pay. These models may not require calibration, they simply required accurate data inputs from the onset - or better yet, on-the-fly corrections to access the entire pay zone. A collaborative project started with an operator need to auto-import wireline perforation and frac plug setting depths into an industry recognized wellsite reporting software. The project then revealed itself to be much more – an exercise in ensuring quality depth data from site. This is a game-changing tool for service companies and operators alike. Unique automation capabilities were developed that unified several processes and IIOT data on a completions site.

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Data production models for the CDF experiment

Eighth International Conference on High-Performance Computing in Asia-Pacific Region (HPCASIA'05) ◽

10.1109/hpcasia.2005.30 ◽

2005 ◽

Author(s):

J. Antos ◽

M. Babik ◽

D. Benjamin ◽

S. Cabrera ◽

A.W. Chan ◽

...

Keyword(s):

Production Models ◽

Data Production

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Managing the Mechanical Data Base

Volume 4: Design and Manufacturing ◽

10.1115/imece2009-11101 ◽

2009 ◽

Author(s):

Yuval Beiski

Keyword(s):

Data Base ◽

Mechanical Assembly ◽

Design Data ◽

Interface Control ◽

Production Models ◽

Mechanical Assemblies ◽

Data Production ◽

Current Design ◽

Cad Models ◽

Analysis Models

Developing complex systems usually involves many activities that are based on the integration of the designer CAD models: mechanical assemblies, analysis models (CFD, FEA, Thermal, etc.), interface control, tool and jig design data, production models, mass properties, ILS, documentation, and many more. Proper management of the integrated data base can lead to cost and time savings by parallel design, updated interfaces, and minimum integration faults; and can increase the reuse of parts and support the system engineering decisions. On the other hand, improper data managing can lead to major failures in the design process and during the mechanical assembly, which might result in loss of time, money and reputation. In order to assure efficient and accurate management of the mechanical data base, special training is required for designated personnel – the Mechanical Integrator (MI). The Mechanical Integrator ensures the implementation of appropriate working procedures by the sub-systems designers, that the current design is based on approved and released data, the use of generic parts and much more by managing an updated and robustly built data base. The Mechanical Integrator has a major roll in the project, but does he have the necessary knowledge and training? This paper presents the advantages of managing the mechanical data base; focusing on the techniques in use for building and monitoring it properly and explains the training program of the Mechanical Integrator, a person in charge over the mechanical data base and data flow.

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Using Crowdsourced Data to Study Crime and Place

10.31235/osf.io/9ntk6 ◽

2020 ◽

Author(s):

David Buil-Gil ◽

Reka Solymosi

Keyword(s):

Police Management ◽

R Software ◽

Collaborative Project ◽

Crime And Place ◽

Digital Platform ◽

Crowdsourced Data ◽

Effective Use

Crowdsourcing refers to the practise of enlisting the knowledge, experience or skills of a large number of people (the crowd) through some digital platform to collect data towards a collaborative project. Crowdsourcing can generate large volumes of data in relatively little time at a very small cost, and can be useful for research, strategic police management and many other purposes. To make effective use of crowdsourced data, it is important to understand its key strengths to emphasize, and limitations to mitigate. In this chapter we highlight the main strengths and weaknesses of crowdsourcing, and illustrate how to acquire, make sense of, and critically evaluate crowdsourced data to study crime and place. We present a step-by-step exemplar study using crowdsourced data from a platform called Place Pulse, where people rate their feelings of safety between different areas. Taking the case study of Atlanta, Georgia, we work through analyzing and interpreting these data while highlighting how to emphasize and evaluate the strengths and limitations of crowdsourcing. Exercises are presented using R software.

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The Urban Digital Platform: Instances from Milan and Amsterdam

Urban Planning ◽

10.17645/up.v5i4.3417 ◽

2020 ◽

Vol 5 (4) ◽

pp. 277-288

Author(s):

Letizia Chiappini

Keyword(s):

Urban Sociology ◽

Mutual Aid ◽

Production Of Space ◽

Digital Platforms ◽

Internet Studies ◽

Digital Platform ◽

For Profit ◽

The Social ◽

Entry Points ◽

Novel Concept

The article interrogates the concept of the urban in relation to digital platforms designed for citizen-based initiatives and local projects. We must broaden our scope as urban scholars to include this vast undergrowth of ‘other’ platforms and study how they intersect with the social and material fabric of cities. Drawing from media and internet studies, urban sociology, and digital geography, I introduce the novel concept of ‘urban digital platform’ (UDP). I do so theoretically by using a digital geography body of work and the level of abstractness proposed by Bratton (2016), in ‘the stack,’ which are entry points to define any kind of digital platform. While global and for-profit digital platforms exploit density, size, and diversity, extracting resources into a data-driven form of governance and computational production of space. UDPs benefit from the urban as a front to (re)organise citizen-based, mutual-aid initiatives, and solidarity actions. The core of the UDP concept lies in the ambiguity of the role of the urban government, media literacy, and techno-biases as basic requirements for citizens to access the platform, its services, and goods. Those claims are supported by instances and empirical findings of two analysed platforms in Milan and Amsterdam.

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INDICATORS OF FRAUD IN FINANCIAL REPORTING IN THE REPUBLIC OF SERBIA

TEME ◽

10.22190/teme1804319d ◽

2019 ◽

pp. 1319

Author(s):

Dragomir Slavoljub Dimitrijević ◽

Vladimir Milovan Obradović ◽

Sunčica Milutinović

Keyword(s):

Financial Reporting ◽

Reporting System ◽

Financial Statements ◽

General Purpose ◽

Warning Signs ◽

Manufacturing Companies ◽

Fraud Risk ◽

Service Companies ◽

The Republic ◽

Fraudulent Financial Statements

Companies can use various manipulative techniques when preparing general-purpose financial statements in order to present better financial position and better performance. Fraudulent financial statements can lead their users to wrong decisions and, consequently, cause big losses and distort confidence in the financial reporting system. Therefore, it is important to timely discover and prevent financial reporting frauds. Timely detection of fraud is one of the key tasks of forensic accountants, who should pay attention to fraud indicators, i.e. warning signs of fraud. Warning signs are not evidence of fraud but point to the need for a more detailed investigation. The aim of the research in this paper is to examine whether there are warning signs and to understand the degree of fraud risk in financial reporting by analyzing financial statements of companies in the Republic of Serbia. The research is conducted on a sample of 42 companies. By applying the Beneish model, we find that the general fraud risk is not insignificant. Borrowing activities of companies are identified as a significant source of this risk, while forensic accountants should pay special attention to income recognition and accrual items, i.e., items related to recognition of income and expenses before or after cash inflows or outflows, including depreciation. Higher risk of fraud is identified in manufacturing companies and financial institutions than in trade and service companies. The research results indicate the need to strengthen the mechanisms of financial reporting control in the Republic of Serbia.

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