Azerbaijan may be transporting 11.4% less oil by pipeline by 2018

November 2013
Russia & CIS Business & Financial Newswire;11/12/2013, p1
BAKU. Nov 12 (Interfax) - The amount of oil put through trunk pipelines in Azerbaijan will be down 11.4% compared with the forecast for this year at 39.7 million tonnes in 2017, government sources told Interfax.


Related Articles

  • Azerbaijan's SOCAR ups oil output 1.5% in 9M. Interfax // Russia & CIS Energy Newswire;11/13/2013, p1 

    BAKU. Nov 13 (Interfax) - The State Oil Company of the Azerbaijani Republic (SOCAR) raised oil production 1.5% year-on-year in January-September to 6.243 million tonnes, the company told Interfax.

  • TURKEY: RISK SUMMARY.  // Emerging Europe Monitor: South East Europe Monitor;Feb2011, Vol. 18 Issue 2, p2 

    The article presents forecasts on the political, economic, and business environment risks in Turkey in 2011 and onwards.

  • On the level and origin of seasonal forecast skill in northern Europe. Johansson, Åke; Barnston, Anthony; Saha, Suranjana; Van den Dool, Huug // Journal of the Atmospheric Sciences;1/1/98, Vol. 55 Issue 1, p103 

    Assesses the level and origin of seasonal forecasts skill of surface air temperature in northern Europe. What the forecasts are based on; Presentation of temporal skill distributions; Interpretation of the origin of the skill; Conclusions reached.

  • Measures of the survey's accuracy.  // Business Review (Federal Reserve Bank of Philadelphia);Nov/Dec93, p10 

    Describes measurements on the accuracy of forecasts in the Survey of Professional Forecasters. Calculation of the forecast error; Mean absolute error; Root mean square error; Forecast accuracy comparisons; Timing of when the forecast was made; Choice of data to use.

  • How much data should you use to prepare forecasts? Jain, Chaman L. // Journal of Business Forecasting Methods & Systems;Winter94/95, Vol. 13 Issue 4, p2 

    Editorial. Discusses factors to consider when making decisions on how much data should be used to prepare forecasts. Data pattern; Type of industry; Type of product; Forecast horizon; Model selected; Expost forecasts.

  • The next generation: A U.S. forecast for the year 2020. Bloom, Mitchel F. // Journal of Business Forecasting Methods & Systems;Winter94/95, Vol. 13 Issue 4, p10 

    Presents forecasts for conditions in the United States in the year 2020. Graying of America; Retirement dilemma; Browning of America; Immigration; Rise of the macho woman; Fastest growing occupations; Fastest growing professions; Occupations to avoid; Violent and property crimes; Example of a...

  • Introducing C.A.R.T. to the forecasting process. Morrison, Jeff // Journal of Business Forecasting Methods & Systems;Spring98, Vol. 17 Issue 1, p9 

    Discusses the use of the procedure called Classification and Regression Trees (CART) in the forecasting process. Advantages over regression in handling missing data and capturing nonlinearity within the data; CART's use in the credit card industry to pre-screen credit card mailings.

  • Forecasting practices in accounting, law, and medical professions. Peterson, Robin; Jun, Minjoon // Journal of Business Forecasting Methods & Systems;Summer98, Vol. 17 Issue 2, p20 

    Describes forecasting practices in the accounting, law and medical professions. Primary preparer of forecast; Company units to which forecasts pertain; Time periods for which forecasts are prepared; Forecasting techniques utilized; Percent error of the forecasts.

  • HRSA publishes report on modeling, forecasting.  // Public Health Reports;Jul/Aug91, Vol. 106 Issue 4, p472 

    Announces that the Bureau of Health Professionals of the Public Health Service's Health Resources and Services Administration has published the summary of its Workshop on Modeling and Forecasting for the 1990s.


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics