Schlumberger Technology Corporation

Weatherford Technology Holdings, LLC

Mehrzad Mahdavi

Donald Kenney Steinman

Paul Albats, Jr

Jean-Remy Olesen

Colin Albert Tait

Russell C Hertzog

Jason Scott Penner

George C Summerfield

Stefan Vajda

Jimmy Dale Stout

Steve Meddaugh

Shivakumar Sitaraman

Certain aspects of the present disclosure provide for wireless sensor packages to monitor various oilfield equipment health status, such as bearing wear and detect out-of-balance condition on reciprocating rod lifts (RRLs). Equipment health data can be collected, analyzed and stored by an IoT gateway, which is a small form-factor, ruggedized, low-power Intel processor computer running a novel message-oriented middleware software stack that leverages the MQTT protocol. Data may subsequently be transmitted to a cloud service via the internet via to a datacenter through SCADA, for analysis and action.

Internet of things gateway systems and methods for oil and gas fields

A Cockcroft-Walton (CW) multiplying circuit is mounted to wrap around a cylindrical structure. A photomultiplier tube (PMT) has a photocathode which emits electrons and has dynodes connected to the CW multiplying circuit. The dynodes are biased to attract electrons from the photocathode. An electrical shield surrounds the PMT and the PMT nests within the shield. The cylindrical structure surrounds the shield and the shield nests within the cylindrical structure. The shield is a conductive material which electrically isolates the PMT from the CW multiplying circuit.

Apparatus and method of using PMT having wrap-around circuitry

A tool which contains a pulsed accelerator neutron source and means for making timing measurements of the thermal neutron response in a localized portion of the environment immediately surrounding the borehole. Formation sigma is determined by parameterizing the detected thermal neutron decay curve, preferably with a diffusion model similar to that known in the art for determining formation sigma on the basis of gamma ray time distributions. In a more comprehensive embodiment of the present invention, which includes a gamma detector in the tool, formation sigma can be measured in parallel using both gamma ray and thermal neutron decay characteristics. Deviations between the neutron and gamma-based signals that occur as the tool traverses the borehole, provide useful indications of local effects immediately surrounding the borehole.

Formation sigma measurement from thermal neutron detection

A borehole logging method for determining thermal neutron decay characteristics of a formation surrounding the borehole, comprises the following steps. The formation surrounding the borehole is irradiated from a location within the borehole with a burst of neutrons and indications of the concentration of the diffusing thermal neutrons are detected in at least three time gates following the burst of neutrons. Corresponding count rate signals in response to the detected neutrons are produced. Thereafter, the count rate signals are combined in a predetermined manner to separate a characteristic of the thermal neutron decay rate of the formation from associated neutron diffusion characteristics which are monotonically decreasing with time. The steps of irradiating, detecting and combining are then repeated at different depth locations within the borehole and a recording of the rate of decay of thermal neutrons as a function of borehole depth is produced.

Thermal decay time logging method

A borehole logging method for determining the porosity of a formation surrounding the borehole, comprising the steps of: irradiating the formation surrounding the borehole from a location within the borehole with a burst of neutrons, detecting at a near detector indications of the concentration of thermal neutrons following the burst of neutrons and generating near count rate signals as a function of time in response thereto, detecting at a far detector indications of the concentration of thermal neutrons following the burst of neutrons and generating far count rate signals as a function of time in response thereto, fitting a count rate model to the near count rate signals to determine a near impulse formation count rate amplitude, fitting a count rate model to said far count rate signals to determine a far impulse formation count rate amplitude, determining the ratio of the near and far count rate signals as a characteristic proportional to the porosity of the formation.

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Houston, TX, United States of America

Mehrzad Mahdavi