摘要:
Systems, methods and devices for evaluating a condition of a downhole component of a drillstring. Methods include estimating a value of a tool parameter of the component at at least one selected position on the drillstring; and using the estimated value to evaluate the condition of the downhole component. The estimating is done using a trained artificial neural network that receives information from at least one sensor that is positionally offset from the selected position. The method may further include creating a record representing information from estimated values of the tool parameter at the at least one selected position over time. The at least one selected position may include a plurality of positions, such as positions at intervals along the component, including substantially continuously along the component.
摘要:
A changepoint detector for modeling data received from at least one sensor in a process in the hydrocarbon industry. The data is segmented into a plurality of segments and for each segment a model is assigned and the data corresponding to the segment fit to that model. A plurality of segmentations are thus provided and these segmentations ar evaluated and assigned weights indicative of the fit of the models of the segmentation t the underlying data. The segmentation models are further used to calculate a result that may be input to a process control program.
摘要:
An apparatus and method for determining a parameter of interest of a formation composed of carbonate rock. A nuclear magnetic resonance (NMR) sensor assembly produces a pulsed RF field designed for obtaining measurements indicative of the parameter of interest of the formation. A downhole processor processes the measurements for obtaining BVI and BVM using a cutoff time based on classification of the carbonate. Further processing is done to estimate the permeability of the carbonate.
摘要:
This method serves as both a raw data logger (36) for well operation analysis and a well event logger for well performance analysis. An improved methodology of remote event and process variable logging and data retention designed specifically to address the needs of intermittently flowing gas wells is useful for eliminating gas slippage associated with intermittent or erratic gas flow conditions, eliminating measurement errors, and lowering operating costs. The well data (1.1, 34) can be scanned in seconds for its current flow situation, and as a set of specific conditions are met, a built-in control program reacts to those conditions by shutting down the well until certain pressure criteria are met to allow the well to flow again. To maintain measurement integrity, precise event logging (1.2) of the valve positions to indicate the actual flowing period are included in the flow integration.
摘要:
A method of optimizing performance of a well system utilizes a neural network. In a described embodiment, the method includes the step of accumulating data indicative of the performance of the well system in response to variable influencing parameters. The data is used to train a neural network to model an output of the well system in response to the influencing parameters. An output of the neural network may then be input to a valuing model, e.g., to permit optimization of a value of the well system. The optimization process yields a set of prospective influencing parameters which may be incorporated into the well system to maximize its value.
摘要:
A method and associated apparatus continuously optimizes reservoir, well and surface network systems by using monitoring data and downhole control devices to continuously change the position of a downhole intelligent control valve (ICV) (12) until a set of characteristics associated with the 'actual' monitored data is approximately equal to, or is not significantly different than, a set of characteristics associated with 'target' data that is provided by a reservoir simulator (32). A control pulse (18) having a predetermined signature is transmitted downhole thereby changing a position of the ICV. In response, a sensor (14) generates signals representing 'actual' monitoring data. A simulator (32) which models a reservoir layer provides 'target' data. A computer apparatus (30) receives the 'actual' data and the 'target' data and, when the 'actual' data is not approximately equal to the 'target' data, the computer apparatus (30) executes a 'monitoring and control process' program code which changes the predetermined signature of the control pulse to a second and different predetermined signature. A new pulse having the second predetermined signature is transmitted downhole and the above process repeats until the 'actual' data received by the computer apparatus (30) is approximately equal to the 'target' data.
摘要:
Méthode pour construire un module (hydrodynamique ou thermodynamique par exemple) destiné à simuler en temps réel le mode d'écoulement en tout point d'une conduite, d'une veine de fluide polyphasique comprenant au moins une phase liquide et au moins une phase gazeuse, de façon qu'il soit le mieux adapté à des conditions opératoires fixées portant sur un certain nombre de paramètres structurels et physiques définis relatifs à la conduite, et sur un ensemble de grandeurs physiques définies (grandeurs hydrodynamiques ou thermodynamiques par exemple), avec des gammes de variation fixées pour les paramètres et les grandeurs physiques. Elle comporte l'utilisation d'un système de modélisation constitué à base de réseaux neuronaux non linéaires avec chacun des entrées pour des paramètres de structure et des grandeurs physiques, et des sorties où sont disponibles des grandeurs nécessaires à l'estimation du mode d'écoulement, et au moins une couche intermédiaire. Les réseaux neuronaux sont déterminés itérativement pour s'ajuster aux valeurs d'une base d'apprentissage avec des tables prédéfinies reliant différentes valeurs obtenues pour les données de sortie aux valeurs correspondantes des données d'entrée. On utilise une base d'apprentissage adaptée aux conditions opératoires imposées et on génère des réseaux neuronaux optimisés s'ajustant au mieux aux conditions opératoires imposées. Applications à la modélisation d'écoulements d'hydrocarbures dans des conduites, par exemple.
摘要:
A control method and system (11) for managing operations at a well (10). The well operation is divided into operating phases and a set of management requirements for each operating phase are established. An associate system (13) for each discrete management requirement produces selected outputs based upon selected inputs from all the sensed dynamic variables (14) as well as selected inputs from knowledge bases (15) and models (16). Each associate (13(n)) displays real time functions depending upon the processing of any operating parameter, at the selected operating phase and discrete management requirement.
摘要:
The invention provides a ground sensing system (10) comprising: sensing means (19) located, in use, on a projectile being driven through ground by means of apparatus having a self adjustment between a vibration mode and a vibro-impact mode according to encountered ground resistance, the sensing means sensing the dynamic resistance of the ground that the projectile is passing through; signal processing means for processing the output of said sensing means to provide a dynamic resistance waveform (106); and waveform recognition means (108) for correlating said dynamic resistance waveform with stored dynamic waveforms for identifying a ground characteristic. The waveform recognition means may comprise a neural network system.
摘要:
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.