Halliburton Energy Services, Inc.

Baker Hughes Corporation

Western Atlas International, Inc.

Baker Hughes, a Ge Compnay, LLC

Songhua Chen

Lilong Li

Wei Shao

Arcady Reiderman

Daniel T Georgi

Magdalena Sandor

Christopher Michael Jones

Rebecca Corina Jachmann

Michael Thomas Pelletier

Thomas Kruspe

Carl M Edwards

David R Beard

Jie Yang

Mikhail N Gladkikh

Robert S Atkinson, Jr

David J Jacobi

Sheng Fang

Holger Thern

Darryl E Trcka

W Allen Gilchrist, Jr

Joo Tim Ong

Ronald Eugene Cherry

Donald Clifford Westacott

Dan Georgi

Paul Joseph Ganssle

Mark Cheiron Butler

Gabriela Singer

Jiansheng Chen

Mike Gillen

Ole G Engels

Yuesheng Cheng

Krishna M Ravi

William Walter Shumway

Peter James Boul

Tianping Huang

Lonnie Carl Helms

Cato Russell McDaniel

Gregory Boris Itskovich

Shouxiang Mark Ma

Martin Blanz

Terry R Bussear

Robert S Atkinson

Lizheng Zhang

Jing Li

Wallace Harold Meyer

W Allen Gilchrist

Jinhua Cao

Zinovy B Krugliak

Sami Abbas Eyuboglu

Shriram Sarvotham

Ron Dirksen

Daniel Lee Miller

Gabor Hursan

Waqar Ahmad Khan

Jason Glen Bell

Chang S Shin

Abdolhamid Hadibeik

Jianghui Wu

Sonali Pattnaik

Hyung Tae Kwak

Ronnel Charles Balliet

Michael E Gillen

Gigi Zhang

Ron Charles Balliet

Yusheng Cheng

Holger F Thern

MingJen Wang

Huiwen Sheng

Mette Stengaard Munkholm

Adly Helba

Arcady Reidermann

Yuan Chong

Fabio Brambilla

Chun Lan

Bo Gao

Gabor G Hursan

J Tim Ong

A wellbore fluid inductance monitor is disclosed, which operates at an end of a tubular in a wellbore. The wellbore fluid inductance monitor comprises an inductor in an electrical circuit. A magnetically doped portion of wellbore fluid, which may be a hydraulic fluid or cement slurry, is introduced into the wellbore during a reverse cementing or other cementing operation. The magnetically doped portion of wellbore fluid contains a dopant that alters at least one of a magnetic permeability and conductivity. The wellbore fluid inductance monitor detects the proximity magnetically doped portion of wellbore fluid based on altered electrical characteristics of the inductor. Based on the detection, the wellbore fluid inductance monitor triggers a wellbore operation which is detectable at a cementing controller and the cementing operation can be stopped or otherwise completed based on the determination that the cement slurry has reached the end of the tubular.

Induction loop cementing progress detection

Described herein are systems and techniques for improving an accuracy of determinations made using data sensed in a wellbore or in a laboratory. Nuclear magnetic resonance (NMR) sensing devices may be used to collect data in a wellbore or lab. NMR sensing devices include a magnet (e.g., a permanent magnet or electromagnet) that provides a magnetic field that aligns the spins of protons in substances near the NMR sensing device. The magnetic field strength provided by the magnet of the NMR sensing device affects the sensitivity of the NMR sensing device and affects frequencies that the NMR sensing device effectively uses when the NMR sensing device operates. Systems and techniques of the present disclosure may measure concentrations of lithium in brine deposits when identifying particular brine deposits that include sufficient lithium concentrations to justify extracting lithium from those particular brine deposits.

Downhole detection of lithium containing minerals by lithium 7 nuclear magnetic resonance

A NMR tool for use in a wellbore in a subterranean region includes a magnet assembly to produce a magnetic field in a volume in the subterranean region; an antenna to produce an excitation in the volume, and to receive a plurality of spin echo waveforms from the volume; and a computing system coupled to the antenna and configured to: apply a first acquisition window having a first duration to the spin echo waveforms to generate a corresponding first echo train including a first plurality of NMR echo signal amplitudes; apply a second acquisition window having a second duration different than the first duration, to at least some of the spin echo waveforms to generate a corresponding second echo train including a second plurality of NMR echo signal amplitudes; and determine a relaxation parameter based on a single inversion of the first and second echo trains.

Data inversion to reduce motion effects on nuclear magnetic resonance relaxation data

System and methods of petrophysical modeling are disclosed. Measurements of formation parameters are received from one or more measurement tools during a first stage of a downhole operation within a reservoir formation. A correlation between each of the formation parameters and a target parameter of the formation is determined based on the measurements. One or more formation parameters are selected as input parameters for a symbolic regression model, based on the correlation. A symbolic regression model is trained to generate candidate formation models representing the target parameter, based on the selected input parameters. One or more optimizations are applied to the candidate models to determine a target petrophysical model of the formation. Values of the target parameter are estimated for at least one formation layer, based on the target petrophysical model. A second stage of the downhole operation is performed within the formation layer(s) based on the estimated values.

Data driven approach to develop petrophysical interpretation models for complex reservoirs

Noise in drilling operation measurements can be eliminated or reduced using machine learning. For example, a system described herein can receive one or more measured signals in a logging-while-drilling process for drilling a wellbore. The system can determine a coupling factor for noise in the one or more measured signals. The system can generate a corrected signal by removing the noise multiplied by the coupling factor from the one or more measured signals. The system can output the corrected signal for use in drilling operations in the wellbore.

Noise elimination or reduction in drilling operation measurements using machine learning

A measurement tool may be positioned downhole in a wellbore for measuring formation properties and drilling mud properties during a drilling operation. The measurement tool may include a body and an antenna. The body may include magnets for generating a magnetic field and a transmitter for transmitting a radiofrequency pulse. The antenna may be positioned proximate to the body to measure properties using nuclear magnetic resonant frequencies. The antenna may measure formation properties in a first volume of a formation using a first frequency. The antenna may measure drilling mud properties in a second volume in a borehole using a second frequency.

Measuring formation properties and drilling mud properties using nuclear magnetic resonance in a wellbore

System and methods for nuclear magnetic resonance (NMR) fluid substitution are provided. NMR logging measurements of a reservoir rock formation are acquired. Fluid zones within the reservoir rock formation are identified based on the acquired measurements. The fluid zones include water zones comprising water-saturated rock and at least one oil zone comprising rock saturated with multiphase fluids. Water zones having petrophysical characteristics matching those of the oil zone(s) within the formation are selected. NMR responses to multiphase fluids resulting from a displacement of water by hydrocarbon in the selected water zones are simulated. A synthetic dataset including NMR T2 distributions of multiphase fluids is generated based on the simulation. The synthetic dataset is used to train a machine learning (ML) model to substitute NMR T2 distributions of multiphase fluids with those of water. The trained ML model is applied to the NMR logging measurements acquired for the oil zone(s).

Nuclear magnetic resonance (NMR) fluid substitution using machine learning

A method and microfluidic device to perform reservoir simulations using pressure-volume-temperature ('PVT') analysis of wellbore fluids.

Microfluidic device and method for parallel pressure-volume-temperature analysis in reservoir simulations

A method includes generating a temperature-corrected nuclear magnetic resonance (NMR) measurement-derived value corresponding to a target temperature using a correlation model that is based on a difference between the target temperature and a sample temperature. The method also includes determining a formation property based on the temperature-corrected NMR measurement-derived value corresponding to the target temperature.

Temperature correction of NMR relaxation time distributions

A fluid extraction tool can include a body, a sealing pad extending from a portion of the elongated body, a container holding a selective permeability agent (SPA), and a device. The sealing pad can have an opening for establishing fluidic communication between an earth formation and the elongated body, an outer surface to hydraulically seal a region along an inner surface of a wellbore and a recess within the sealing pad establishing a fluid flow channel along the inner surface of the wellbore. The device can inject the SPA through an outlet of the body into the earth formation, and extract a formation fluid through the opening, wherein the formation fluid being collected is from the region along the inner surface of the wellbore sealed off by the sealing pad.

Method and system for extracting reservoir fluid sample

A nuclear magnetic resonance (NMR) sensor and methods and systems for use are provided. The method comprises disposing a nuclear magnetic resonance (NMR) sensor into a borehole, the NMR sensor comprising a magnet assembly to create a static magnetic field and a first transversal-dipole antenna having an azimuthally selective response function. The method further comprises, while rotating the NMR sensor, initiating azimuthally selective NMR excitation in at least one sensitivity region at a first frequency using the first transversal-dipole antenna and the magnet assembly, wherein the at least one sensitivity region is determined by the static magnetic field and the RF magnetic field. The method then comprises acquiring one or more azimuthally selective NMR signals at the first frequency using the first transversal-dipole antenna.

Method of imaging using azimuthally resolved NMR while drilling

To separate porosity from surface roughness, length scales for pore size and surface roughness are identified. These length scales are determined from surface roughness measurements and confirmed via NMR pore body calculations and pore size capillary pressure measurements. A filter removes pore contribution to surface roughness measurements and delivers intrinsic surface roughness. Additional filters and methods determine the minimum magnification on which to base surface roughness calculation, based on size of the field of view and where measured surface roughness approaches intrinsic surface roughness as magnification increases but larger magnification increase sampling time and difficulty. Sample irregularities, such as saw marks, are also filtered out or determined to be too large to remove via filter and another area of measurement is located. With the pore corrected quantification of surface roughness, surface relaxivity and pore distribution can be calculated with greater accuracy.

Pore contribution corrected quantifying of surface roughness

A nuclear magnetic resonance (NMR) tool for use in a subterranean region, the NMR tool comprising a magnet assembly to produce a magnetic field in a volume in the region, an antenna assembly to produce an excitation in the volume, and to receive NMR signals from the volume, and an acquisition system coupled to the antenna assembly and configured to acquire a first NMR signal using a first acquisition window having a first duration, and acquire a second NMR signal using a second acquisition window having a second duration, wherein the second duration is different than the first duration, and a processor coupled to the acquisition system and configured to determine a lateral displacement of the NMR tool as a function of time based on the first and second NMR signals, and apply the lateral displacement to the first NMR signal to generate NMR relaxation data with reduced motion effects.

Reducing motion effects on nuclear magnetic resonance relaxation data

A method and system for interspersing different wait times in trainlet and partial recovery sequences is provided. The method includes introducing a nuclear magnetic resonance (NMR) tool into a wellbore penetrating a subterranean formation. The method also includes applying an NMR pulse sequence to the subterranean formation using the NMR tool, in which the NMR pulse sequence includes at least two different wait times interspersed between successive sequences of radio frequency (RF) pulses. The method also includes measuring one or more echo signals corresponding to a substance in the subterranean formation based on the applied NMR pulse sequence. The method also includes determining a distribution of a characteristic of the substance based on the measured one or more echo signals.

Interspersing different wait times in trainlet and partial recovery sequences

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Katy, TX, United States of America

Songhua Chen