Case Study: Weight Loss Leads to Cost Savings and Improvement in Metabolic Syndrome

For S-15 and S-14 wells at South S Field, drilling of the 12-1/4” hole section became the longest tangent hole section interval of both wells. There were several challenges identified where hole problems can occur. The hole problems often occur in the unconsolidated sand layers and porous limestone formation sections of the hole during tripping in/out operations. Most of the hole problems are closely related to the design of the Bottom Hole Assembly (BHA). In many instances, hole problems resulted in significant additional drilling time. As an effort to resolve this issue, a new BHA setup was then designed to enhance the BHA drilling performance and eventually eliminate hole problems while drilling. The basic idea of the enhanced BHA is to provide more annulus clearance and limber BHA. The purpose is to reduce the Equivalent Circulating Density (ECD,) less contact area with formation, and reduce packoff risk while drilling through an unconsolidated section of the rocks. Engineering simulations were conducted to ensure that the enhanced BHA were able to deliver a good drilling performance. As a results, improved drilling performance can be seen on S-14 well which applied the enhanced BHA design. The enhanced BHA was able to drill the 12-1/4” tangent hole section to total depth (TD) with certain drilling parameter. Hole problems were no longer an issue during tripping out/in operation. This improvement led to significant rig time and cost savings of intermediate hole section drilling compared to S-15 well. The new enhanced BHA design has become one of the company’s benchmarks for drilling directional wells in South S Field.

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Faculty Opinions recommendation of The effects of weight loss versus weight loss maintenance on sympathetic nervous system activity and metabolic syndrome components.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.7633956.7939054 ◽

2011 ◽

Author(s):

Marleen van Baak

Keyword(s):

Metabolic Syndrome ◽

Weight Loss ◽

Nervous System ◽

Sympathetic Nervous System ◽

Weight Loss Maintenance ◽

Sympathetic Nervous System Activity ◽

System Activity ◽

Nervous System Activity ◽

Sympathetic Nervous ◽

Metabolic Syndrome Components

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Pound Wise and Penny Foolish? Weight Loss and The Dynamics of Health Care Spending

Forum for Health Economics & Policy ◽

10.2202/1558-9544.1220 ◽

2011 ◽

Vol 14 (2) ◽

Author(s):

Thomas G Koch

Keyword(s):

Weight Loss ◽

Cost Savings ◽

Cost Effective ◽

Economic Consequences ◽

Health Care Spending ◽

Order Of Magnitude ◽

Dynamic Measures ◽

The Cost ◽

The Impact ◽

The Relationship

Current estimates of obesity costs ignore the impact of future weight loss and gain, and may either over or underestimate economic consequences of weight loss. In light of this, I construct static and dynamic measures of medical costs associated with body mass index (BMI), to be balanced against the cost of one-time interventions. This study finds that ignoring the implications of weight loss and gain over time overstates the medical-cost savings of such interventions by an order of magnitude. When the relationship between spending and age is allowed to vary, weight-loss attempts appear to be cost-effective starting and ending with middle age. Some interventions recently proven to decrease weight may also be cost-effective.

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Fecal Metaproteomics Reveals Reduced Gut Inflammation and Changed Microbial Metabolism Following Lifestyle-Induced Weight Loss

Biomolecules ◽

10.3390/biom11050726 ◽

2021 ◽

Vol 11 (5) ◽

pp. 726

Author(s):

Ronald Biemann ◽

Enrico Buß ◽

Dirk Benndorf ◽

Theresa Lehmann ◽

Kay Schallert ◽

...

Keyword(s):

Metabolic Syndrome ◽

Weight Loss ◽

Gut Microbiome ◽

Taxonomic Composition ◽

Low Grade ◽

Gut Inflammation ◽

Functional Changes ◽

Microbiome Composition ◽

Before And After ◽

Human Proteins

Gut microbiota-mediated inflammation promotes obesity-associated low-grade inflammation, which represents a hallmark of metabolic syndrome. To investigate if lifestyle-induced weight loss (WL) may modulate the gut microbiome composition and its interaction with the host on a functional level, we analyzed the fecal metaproteome of 33 individuals with metabolic syndrome in a longitudinal study before and after lifestyle-induced WL in a well-defined cohort. The 6-month WL intervention resulted in reduced BMI (−13.7%), improved insulin sensitivity (HOMA-IR, −46.1%), and reduced levels of circulating hsCRP (−39.9%), indicating metabolic syndrome reversal. The metaprotein spectra revealed a decrease of human proteins associated with gut inflammation. Taxonomic analysis revealed only minor changes in the bacterial composition with an increase of the families Desulfovibrionaceae, Leptospiraceae, Syntrophomonadaceae, Thermotogaceae and Verrucomicrobiaceae. Yet we detected an increased abundance of microbial metaprotein spectra that suggest an enhanced hydrolysis of complex carbohydrates. Hence, lifestyle-induced WL was associated with reduced gut inflammation and functional changes of human and microbial enzymes for carbohydrate hydrolysis while the taxonomic composition of the gut microbiome remained almost stable. The metaproteomics workflow has proven to be a suitable method for monitoring inflammatory changes in the fecal metaproteome.

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Using Social Media in Tourist Sentiment Analysis: A Case Study of Andalusia during the Covid-19 Pandemic

Sustainability ◽

10.3390/su13073836 ◽

2021 ◽

Vol 13 (7) ◽

pp. 3836

Author(s):

David Flores-Ruiz ◽

Adolfo Elizondo-Salto ◽

María de la O. Barroso-González

Keyword(s):

Social Media ◽

Sentiment Analysis ◽

Cost Savings ◽

Mass Scale ◽

Tourism Sector ◽

The Social ◽

Analytical Tools ◽

Media Data

This paper explores the role of social media in tourist sentiment analysis. To do this, it describes previous studies that have carried out tourist sentiment analysis using social media data, before analyzing changes in tourists’ sentiments and behaviors during the COVID-19 pandemic. In the case study, which focuses on Andalusia, the changes experienced by the tourism sector in the southern Spanish region as a result of the COVID-19 pandemic are assessed using the Andalusian Tourism Situation Survey (ECTA). This information is then compared with data obtained from a sentiment analysis based on the social network Twitter. On the basis of this comparative analysis, the paper concludes that it is possible to identify and classify tourists’ perceptions using sentiment analysis on a mass scale with the help of statistical software (RStudio and Knime). The sentiment analysis using Twitter data correlates with and is supplemented by information from the ECTA survey, with both analyses showing that tourists placed greater value on safety and preferred to travel individually to nearby, less crowded destinations since the pandemic began. Of the two analytical tools, sentiment analysis can be carried out on social media on a continuous basis and offers cost savings.

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