Abstract: This disclosure relates in general to systems and methods for spot checking flow properties of a multiphase mixture containing one or more hydrocarbons flowing through a pipeline or the like. More specifically, but not by way of limitation, embodiments of the present invention provide systems and methods for creating slug-type flows of isokinetically obtained samples of the multiphase mixture flow. By spot checking the slug-type flow of an isokinetically obtained sample of the multiphase flow, embodiments of the present invention may provide for determining flow properties of gas, oil/condensate and/or water components of the multiphase flow. In certain aspects of the present invention, an active sampling device may be used to enrich one of the phases of the slug-type flow of the sampled multiphase mixture and/or take a representative sample of one of the phases of the slug-type flow of the sampled multiphase mixture.

Abstract: A system and method facilitates the analysis and sampling of well fluid. A sampling and data collection device is used to detect well fluid properties in situ at a flowline installation. In an exemplary embodiment, the sampling and data collection device comprises a sample collection system having a probe adapted to selectively insert into and selectively retract from the flowline to collect a fluid sample, and a sensor system to determine PVT data in situ at the location where the probe is inserted into the flowline.

Abstract: The invention relates to fluid sampling in a test that is used to determine physical and chemical characteristics of the fluids in a subterranean reservoir. The method reconstructs the entire pressure history of the fluid parcel that is captured in the fluid samplers during a test. Using this reconstructed pressure history of the samples, the quality of the samples, particularly, whether there is a phase change in the samples during the test, can be accurately quantified.

Abstract: Apparatus and methods to perform downhole fluid analysis using an artificial neural network are disclosed. A disclosed example method involves obtaining a first formation fluid property value of a formation fluid sample from a downhole fluid analysis process. The first formation fluid property value is provided to an artificial neural network, and a second formation fluid property value of the formation fluid sample is generated by means of the artificial neural network.

Abstract: This disclosure relates in general to systems and methods for spot checking flow properties of a multiphase mixture containing one or more hydrocarbons flowing through a pipeline or the like. More specifically, but not by way of limitation, embodiments of the present invention provide systems and methods for creating slug-type flows of isokinetically obtained samples of the multiphase mixture flow. By spot checking the slug-type flow of an isokinetically obtained sample of the multiphase flow, embodiments of the present invention may provide for determining flow properties of gas, oil/condensate and/or water components of the multiphase flow. In certain aspects of the present invention, an active sampling device may be used to enrich one of the phases of the slug-type flow of the sampled multiphase mixture and/or take a representative sample of one of the phases of the slug-type flow of the sampled multiphase mixture.

Abstract: A system and method facilitates the analysis and sampling of well fluid. A sampling and data collection device is used to detect well fluid properties in situ at a flowline installation. In an exemplary embodiment, the sampling and data collection device comprises a sample collection system having a probe adapted to selectively insert into and selectively retract from the flowline to collect a fluid sample, and a sensor system to determine PVT data in situ at the location where the probe is inserted into the flowline.

Abstract: Subsea apparatus and a method for sampling and analysing fluid from a subsea fluid flowline proximate a subsea well is provided, wherein the apparatus comprises at least one housing located in close proximity to said subsea fluid flowline; at least one fluid sampling device located in the housing in fluid communication with a said subsea fluid flowline for obtaining a sample of fluid from the subsea fluid flowline; at least one fluid processing apparatus located in the housing in fluid communication with said subsea fluid flowline for receiving and processing a portion of the fluid flowing through said fluid flowline or in fluid communication with the fluid sampling device, for processing the sample of fluid obtained from the subsea fluid flowline for analysis, while keeping the sample of fluid at subsea conditions; a fluid analysis device located in the housing, the fluid analysis device being in fluid communication with the fluid processing device and/or with the fluid sampling device, the fluid analysis de

Abstract: Apparatus and methods to perform downhole fluid analysis using an artificial neural network are disclosed. A disclosed example method involves obtaining a first formation fluid property value of a formation fluid sample from a downhole fluid analysis process. The first formation fluid property value is provided to an artificial neural network, and a second formation fluid property value of the formation fluid sample is generated by means of the artificial neural network.

Abstract: The invention relates to fluid sampling in a test that is used to determine physical and chemical characteristics of the fluids in a subterranean reservoir. The method reconstructs the entire pressure history of the fluid parcel that is captured in the fluid samplers during a test. Using this reconstructed pressure history of the samples, the quality of the samples, particularly, whether there is a phase change in the samples during the test, can be accurately quantified.