G. M. Koelemay well No. 1, Jefferson County, Texas. Volume II. Well test data: testing geopressured geothermal reservoirs in existing wells. Final report

Isostearyl Neopentanoate, the ester of Isostearyl Alcohol and Neopentanoic Acid, is used in cosmetic products as an emollient at concentrations up to 50 percent. The undiluted ingredient at doses up to 4 ml/kg was shown to be relatively non-toxic in short-and long-term feeding studies. Test data from animal and clinical studies indicate the undiluted ingredient is neither an irritant nor a sensitizer. A cosmetic formulation containing 16 percent Isostearyl Neopentanoate produced no phototoxicity and no photoallergenicity. Mutagenicity, carcinogenicity, and teratogenicity data were not available. Isostearyl Neopentanoate was not considered to be a significant comedogenic agent. On the basis of available data, it is concluded that this ingredient is safe as a cosmetic ingredient in its present practices of use.

Multiple Realizations of the Permeability Field From Well Test Data

SPE Journal ◽

10.2118/27970-pa ◽

1996 ◽

Vol 1 (02) ◽

pp. 145-154 ◽

Cited By ~ 41

Author(s):

Dean S. Oliver

Keyword(s):

Test Data ◽

Well Test ◽

Permeability Field

The Reliability of the Predicted Performance of Natural Gas Reservoirs Using Reservoir Parameters From Well Test Data Containing Errors

10.2118/5343-ms ◽

1975 ◽

Cited By ~ 2

Author(s):

Ali H. Dogru ◽

Roy M. Knapp

Keyword(s):

Natural Gas ◽

Test Data ◽

Well Test ◽

Gas Reservoirs ◽

Natural Gas Reservoirs

Connecting Data, Model and Process to Streamline and Enhance Single-Point Production Well Test Validation

10.2118/207270-ms ◽

2021 ◽

Author(s):

Mohamad Mustaqim Mokhlis ◽

Nurdini Alya Hazali ◽

Muhammad Firdaus Hassan ◽

Mohd Hafiz Hashim ◽

Afzan Nizam Jamaludin ◽

...

Keyword(s):

Test Data ◽

Single Point ◽

Database Systems ◽

Test Validation ◽

Well Test ◽

Production Well ◽

Well Test Analysis ◽

Test Analysis ◽

Digital Ecosystem ◽

Well Model

Abstract In this paper we will present a process streamlined for well-test validation that involves data integration between different database systems, incorporated with well models, and how the process can leverage real-time data to present a full scope of well-test analysis to enhance the capability for assessing well-test performance. The workflow process demonstrates an intuitive and effective way for analyzing and validating a production well test via an interactive digital visualization. This approach has elevated the quality and integrity of the well-test data, as well as improved the process cycle efficiency that complements the field surveillance engineers to keep track of well-test compliance guidelines through efficient well-test tracking in the digital interface. The workflow process involves five primary steps, which all are conducted via a digital platform: Well Test Compliance: Planning and executing the well test Data management and integration Well Test Analysis and Validation: Verification of the well test through historical trending, stability period checks, and well model analysis Model validation: Correcting the well test and calibrating the well model before finalizing the validity of the well test Well Test Re-testing: Submitting the rejected well test for retesting and final step Integrating with corporate database system for production allocation This business process brings improvement to the quality of the well test, which subsequently lifts the petroleum engineers’ confidence level to analyze well performance and deliver accurate well-production forecasting. A well-test validation workflow in a digital ecosystem helps to streamline the flow of data and system integration, as well as the way engineers assess and validate well-test data, which results in minimizing errors and increases overall work efficiency.