| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
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| 61 | METHOD AND SYSTEM FOR WIRELESS COMMUNICATIONS FOR DOWNHOLE APPLICATIONS | EP01975468.8 | 2001-09-27 | EP1320659A1 | 2003-06-25 | Tubel, Paulo S. |
| The present invention comprises tools (20) for deployment downhole in a wellbore for aiding in the production of hydrocarbons. In an exemplary embodiment, the tools (20) comprise a tool body (24); an electrically powered device (22) disposed proximate the tool body (24); a removable power source (26) for providing power to the device disposed in the tool body (24), the power source connected to or mounted into or about the tool body (24), the power source (26) further being fixed or replaceable downhole; and a wireless communications device (57) operatively connected to the electrically powered device. | ||||||
| 62 | Méthode pour former un module à réseaux neuronaux optimisé, destiné à simuler le mode d'écoulement d'une veine de fluides polyphasiques | EP01402991.2 | 2001-11-22 | EP1217474A1 | 2002-06-26 | Rey-Fabret, Isabelle; Duret, Emmanuel; Heintze, Eric; Henriot, Véronique |
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| 63 | Method and apparatus for prediction control in drilling dynamics using neural network | EP01308364.7 | 2001-10-01 | EP1193366A2 | 2002-04-03 | MacDonald, Robert P.; Krueger, Volker; Dubinsky, Vladimir; MacPherson, John D. |
The present invention provides a drilling system that utilizes a neural network for predictive control of drilling operations. A downhole processor controls the operation of the various devices in a bottom hole assembly to effect changes to drilling parameters and drilling direction to autonomously optimize the drilling effectiveness. The neural network iteratively updates a prediction model of the drilling operations and provides recommendations for drilling corrections to a drilling operator. |
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| 64 | Method for controlling the development of an oil or gas reservoir | EP98303548.6 | 1998-05-06 | EP0881357A3 | 2002-02-06 | Stephenson, Stanley V. |
Development of an oil or gas reservoir is controlled using a neural network and genetic algorithm program to define a neural network topology and the optimal inputs for that topology. The topology is defined from identified and selected parameters (1) associated with the formation or formations in which actual wells are drilled in the reservoir, and (2) associated with the drilling, completion and stimulation of those wells, and (3) associated with the oil or gas production from the wells. Subsequent drilling, completion and stimulation of the reservoir is determined and applied based on hypothetical alternatives input to the topology and resulting outputs. |
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| 65 | Guidance system for horizontal drilling | EP01200473.5 | 2001-02-12 | EP1126129A1 | 2001-08-22 | de Bruin, Johannes-Jan |
The invention relates to horizontal directional drilling systems (14), in particularly guidance systems therefore. Such guidance systems, according to the invention comprise at least one of the sensors: fiber optic gyroscope (18,20,21), ring laser gyroscope, micro-electromechanical system and rate sensor (25). A microcontroller (9) is present for receiving and processing data from sensors at the drill head. The microcontroller (9) comprises neural fuzzy control logic for processing the data from the sensors at the drill head. Data from the microcontroller are sent to a surface based computer via radio-waves. The user interface in the computer (4) displays azimuth, tilt, and inclination angles of the drill head on the display device. The use of fiber optic gyroscopes and ring laser gyroscopes allows the display of true North and actual and desired tracks on the display device. Means are present for determining a reliability figure for data dependent on integrated signals from rate sensors and such reliability figures are displayed on the display device. |
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| 66 | Intelligent downhole testing system | EP99309215.4 | 1999-11-18 | EP1004747A2 | 2000-05-31 | Burris, Wesley J. |
An intelligent down hole testing system for conducting well testing has down hole flow. The system includes an apparatus for use in a wellbore having an annulus (10), the apparatus comprising a work string (20) placed in the annulus (10), a sensor (36) in said work string (20) and a control valve (40) in said work string (20), wherein said control valve (40) operates in response to reservoir measurements from said sensor (36). The system allows for flow and shut-in testing and fluid sampling down hole without the need for surface monitoring or control. |
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| 67 | Well logging data interpretation | EP97308601.0 | 1997-10-28 | EP0840141A3 | 1999-12-22 | Mezzatesta, Alberto G.; Jervis, Michael A.; Beard, David R.; Strack, Kurt-M.; Tabarovksy, Leonty A. |
A method for producing synthetic tool responses for a well logging tool for an earth formation, the method including, in one aspect, generating wellbore logging data for a particular part of an earth formation with a wellbore logging system with a wellbore logging tool, the earth formation having at least one layer, producing an input earth model of the particular part of the earth formation based on the wellbore logging data, inputting the input earth model to a trained artificial neural network, e.g. )resident in a computer, the computer with the trained artificial neural network processing the input earth model and producing synthetic tool responses for the wellbore logging tool for one point or for a plurality of points in the earth formation. |
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| 68 | AUTONOMOUS DOWNHOLE OILFIELD TOOL | EP97944386.0 | 1997-09-23 | EP0862682A2 | 1998-09-09 | TUBEL, Paulo; ANGLE, Colin, M.; MCINTYRE, Thomas, W.; JOHNSON, Jeffrey, E. |
| An autonomous downhole oilfield tool having its own mobility and decision making capability so that it may be deployed in a downhole environment to monitor and control said environment by modifying operations of other devices and maintaining downhole structures. | ||||||
| 69 | Well logging data interpretation | EP97308601.0 | 1997-10-28 | EP0840141A2 | 1998-05-06 | Mezzatesta, Alberto G.; Jervis, Michael A.; Beard, David R.; Strack, Kurt-M.; Tabarovksy, Leonty A. |
A method for producing synthetic tool responses for a well logging tool for an earth formation, the method including, in one aspect, generating wellbore logging data for a particular part of an earth formation with a wellbore logging system with a wellbore logging tool, the earth formation having at least one layer, producing an input earth model of the particular part of the earth formation based on the wellbore logging data, inputting the input earth model to a trained artificial neural network, e.g. )resident in a computer, the computer with the trained artificial neural network processing the input earth model and producing synthetic tool responses for the wellbore logging tool for one point or for a plurality of points in the earth formation. |
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| 70 | PROCEDE POUR REALISER UNE REPRESENTATION DES TEXTURES D'UNE STRUCTURE GEOLOGIQUE | EP96931108.0 | 1996-09-11 | EP0796443A1 | 1997-09-24 | KESKES, Naamen; RABILLER, Philippe; YE, Shinju |
| Method for obtaining a representation of the textures of a geological structure, characterised in that images characteristic of the sedimentology of said environment are formed, parameters corresponding to the nature of said images are estimated at every point of each image and in a spatial domain around said point, so as to determine a texture vector for each of said points and to obtain a set of texture vectors; texture vectors representative of the characteristic textures of said geological environment are selected in said set of texture vectors; a neural network formed of cells distributed in two dimensions, and which contains as many cells as characteristic textures, is used, and the selected texture vectors are used to submit said neural network to a learning process so that a final topology map of the textures characteristic of said geological environment is obtained. | ||||||
| 71 | SENSORANORDNUNG ZUR STEUERUNG VON LÜFTUNGSANLAGEN IN FAHRZEUGEN | EP95905112.0 | 1994-12-29 | EP0757632A1 | 1997-02-12 | RUMP, Hanns; PIEPER, Norbert; HILLER, Jörg; KIESEWETTER, Olaf |
| The invention concerns a sensor arrangement for controlling vehicle ventilation systems which recirculate or deliver air in dependence on the pollutant concentration in the air outside the vehicle. The sensor arrangement comprises a gas sensor element (52) whose electrical resistance decreases when reducing gases occur and increases when oxidizing gases occur. The arrangement further comprises an evaluation unit (51) whose output is connected to the ventilation system control device. In order to simplify the sensor technology of such a sensor arrangement and to configure the evaluation system such that it is less expensive, this sensor arrangement is designed so that the rise in a gas sensor signal input into the evaluation unit when the reducing gas concentration increases is quantitatively and approximately equal to the fall in the gas sensor signal input into the evaluation unit (51) when the oxidizing gas concentration correspondingly increases; so that the evaluation unit (51) determines from the gas sensor signal input thereinto the rise or fall in the gas sensor signal per unit of time; and so that the evaluation unit (51) generates a switching signal to change over the ventilation system to recirculation as soon as the determined rise or fall in the gas sensor signal per unit of time quantitatively exceeds a threshold value. | ||||||
| 72 | A method and system for controlling a travelling body so as to move forward along a predetermined route | EP91305636.2 | 1991-06-21 | EP0466348B1 | 1994-12-14 | Fujimori, Isao; Matsumori, Shigeru; Kano, Takashi; Sumi, Toshio |
| 73 | Method for estimating formation permeability from wireline logs using neural networks | EP93300666.0 | 1993-01-29 | EP0561492A3 | 1994-04-13 | Wiener, Jacky Muri; Moll, Robert Frederick; Rogers, John Ashley |
A method for determining rock formation permeability from wireline well logs utilizes neural networks. The neural networks provide consistency, accuracy and overall quality without bias to the calculations. A network is provided having input, intermediate and output layers (12,14,16). Wireline log data and corresponding core permeability data are acquired and the network is trained by iterative weight adjustment to recognize known permeability from known input data, the trained network is tested on known data and permeabilities and then applied to new well log data to determine permeability. |
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| 74 | Procédé de caractérisation d'une couche de terrain | EP90401465.1 | 1990-05-31 | EP0401119A1 | 1990-12-05 | Hamelin, Jean-Pierre; La Fonta, Jean-Ghislain; Mabille, Claude; Amaudric du Chaffaut, Benoît |
L'invention est relative à un procédé de caractérisation d'une couche de terrain, et notamment de détermination de sa stratigraphie. On exécute un forage dans ce terrain on relève au cours du forage un certain nombre de paramètres bruts dont au moins la profondeur atteinte, suivant un protocole d'échantillonnage prédéterminé, on numérise ces paramètres, on introduit les paramètres ainsi numérisés dans une base de faits volatile contenue dans une mémoire d'une unité de traitement contenant également une base de faits permanente, une base de règles et un moteur d'inférence, pour au moins certains cycles d'échantillonnage on déclenche un cycle d'inférence du moteur d'inférence utilisant la base de faits volatile, la base de faits permanente et la base de règles pour en déduire le type de terrain traversé par le forage, on ajoute a la base de faits permanente au moins le type de terrain ainsi inféré associé à sa profondeur, et on remet à zéro la base de faits volatile. |
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| 75 | PREDICTING DRILLABILITY BASED ON ELECTROMAGNETIC EMISSIONS DURING DRILLING | EP13854179.2 | 2013-10-18 | EP3058396A1 | 2016-08-24 | DASHEVSKY, Yuliy Aleksandrovich; TERENTEV, Sergey Alexandrovich; DOROVSKY, Vitaly Nikolaevich; DUBINSKY, Vladimir |
| An embodiment of a method of predicting drilling assembly performance includes: acquiring measurements of electromagnetic (EM) radiation emitted due to destruction of formation materials by a drilling assembly during a drilling operation; selecting input parameters, the input parameters including drilling assembly parameters, operational parameters, and the measurements of the EM radiation; supplying the input parameters to a mathematical drillability model; and generating a rock drillability parameter using the drillability model and the input parameters, the rock drillability parameter providing an indication of drilling performance. | ||||||
| 76 | CONTROL METHOD | EP14787125.5 | 2014-10-09 | EP3055740A2 | 2016-08-17 | WIERCIGROCH, Marian; LIU, Yang |
| Provided is a method for controlling a resonance enhanced rotary drill comprising a drilling module and a control system for controlling one or more drilling parameters of the drilling module, which method comprises: (a) employing one or more initial characteristics of the material being drilled, and/or one or more initial drilling parameters to control the drilling module; (b) measuring one or more current drilling parameters to obtain one or more measured drilling parameters; (c) employing the one or more measured drilling parameters as an input in the control system, in order to obtain an output from the control system, which output comprises one or more calculated characteristics of the material being drilled; (d) employing the one or more calculated characteristics of the material being drilled, and/or the one or more measured drilling parameters, as an input in the control system, in order to obtain an output from the control system, which output comprises one or more calculated drilling parameters; (e) optionally applying the one or more calculated drilling parameters to the drilling module; (f) optionally repeating steps (b), (c) (d) and (e). | ||||||
| 77 | PRESSURE AND FLOW CONTROL IN DRILLING OPERATIONS | EP11865031 | 2011-05-09 | EP2707570A4 | 2015-12-30 | BERNARD CHRISTOPHER J |
| 78 | OPTIMIZATION OF DYNAMICALLY CHANGING DOWNHOLE TOOL SETTINGS | EP12796710 | 2012-05-31 | EP2718532A4 | 2015-09-23 | MORAN DAVID P; OLIVER STUART R |
| 79 | Verfahren zur Durchführung eines Tiefbohrvorgangs | EP13172893.3 | 2013-06-19 | EP2816194A1 | 2014-12-24 | Krohlas, Günther; Markus, Jens; Pfeiffer, Bernd-Markus |
Die Erfindung betrifft ein Verfahren zur Durchführung eines Tiefbohrvorgangs, wobei ein Bohrgestänge verwendet wird, das durch einen Antrieb in Drehung versetzt wird, das an einem Seilzug aufgehängt ist, und das an seinem unteren Ende einen Bohrkopf trägt. Zur Verbesserung der Regelgüte wird ein Mehrgrößenregler (4) in einer Steuerungseinrichtung (3) verwendet, auf welchen als Regelgrößen zumindest die durch das Bohrgestänge auf den Seilzug ausgeübte Zugkraft (FH) und die Vorschubgeschwindigkeit (v) des Bohrgestänges geführt sind. Als Stellgrößen werden vorteilhaft die Drehzahl (n) der Drehung des Bohrgestänges und eine Bremsgröße (B) für den Seilzug durch den Mehrgrößenregler (4) ausgegeben. Damit können Quereinflüsse bei der Regelung berücksichtigt werden. Besonders vorteilhaft ist dabei die Verwendung eines Mehrgrößenreglers (4) in welchen eine betriebswirtschaftliche und/oder energetische Optimierung des stationären Arbeitspunktes integriert ist. Dadurch wird eine Minimierung der Kosten für den Bohrvorgang ermöglicht.
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| 80 | OPTIMIZATION OF DYNAMICALLY CHANGING DOWNHOLE TOOL SETTINGS | EP12796710.7 | 2012-05-31 | EP2718532A1 | 2014-04-16 | MORAN, David, P.; OLIVER, Stuart, R. |
| A computer-assisted method for optimizing a drilling tool assembly, the method comprising defining a desired drilling plan; determining current drilling conditions; determining current drilling tool parameters of at least two drilling tool assembly components; analyzing the current drilling conditions and the current drilling tool parameters to define a base drilling condition; comparing the base drilling condition to the desired drilling plan; determining a drilling tool parameter to adjust to achieve the desired drilling plan; and adjusting at least one drilling tool parameter of at least one of the two drilling tool assembly components based on the comparing the base drilling condition to the desired drilling plan. | ||||||
