WO2005091196A1 - Procede, appareil et memoire a logiciels conçus pour la visualisation de l'evaluation qualitative et quantitative des risques sur la base du projet technique de forage du puits et des proprietes de la terre - Google Patents

Procede, appareil et memoire a logiciels conçus pour la visualisation de l'evaluation qualitative et quantitative des risques sur la base du projet technique de forage du puits et des proprietes de la terre Download PDF

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Publication number
WO2005091196A1
WO2005091196A1 PCT/US2005/009033 US2005009033W WO2005091196A1 WO 2005091196 A1 WO2005091196 A1 WO 2005091196A1 US 2005009033 W US2005009033 W US 2005009033W WO 2005091196 A1 WO2005091196 A1 WO 2005091196A1
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Prior art keywords
risk
severity
risks
input data
ranked
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PCT/US2005/009033
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English (en)
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WO2005091196A8 (fr
Inventor
Daan Veeningen
Kris Givens
Original Assignee
Schlumberger Holdings Limited
Schlumberger Canada Limited
Services Petroliers Schlumberger
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Priority claimed from US10/802,524 external-priority patent/US7653563B2/en
Priority claimed from US10/802,613 external-priority patent/US7630914B2/en
Application filed by Schlumberger Holdings Limited, Schlumberger Canada Limited, Services Petroliers Schlumberger filed Critical Schlumberger Holdings Limited
Priority to CA002560062A priority Critical patent/CA2560062A1/fr
Priority to MXPA06010578A priority patent/MXPA06010578A/es
Priority to EA200601711A priority patent/EA010708B1/ru
Priority to EP05725873A priority patent/EP1725980A1/fr
Publication of WO2005091196A1 publication Critical patent/WO2005091196A1/fr
Publication of WO2005091196A8 publication Critical patent/WO2005091196A8/fr
Priority to NO20064179A priority patent/NO20064179L/no

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

Definitions

  • the subject matter ofthe present invention relates to a software system adapted to be stored in a computer system, such as a personal computer, for providing a a two-dimensional or a three-dimensional visualization of a qualitative and quantitative risk assessment based on technical wellbore design and Earth properties.
  • This specification discloses a software system representing an automated process adapted for integrating both a wellbore construction planning workflow and accounting for process interdependencies.
  • the automated process is based on a drilling simulator, the process representing a highly interactive process which is encompassed in a software system that: (1) allows well construction practices to be tightly linked to geological and geomechanical models, (2) enables asset teams to plan realistic well trajectories by automatically generating cost estimates with a risk assessment, thereby allowing quick screening and economic evaluation of prospects, (3) enables asset teams to quantify the value of additional information by providing insight into the business impact of project uncertainties, (4) reduces the time required for drilling engineers to assess risks and create probabilistic time and cost estimates faithful to an engineered well design, (5) permits drilling engineers to immediately assess the business impact and associated risks of applying new technologies, new procedures, or different approaches to a well design. Discussion of these points illustrate the application ofthe workflow and verify the value, speed, and accuracy of this integrated well planning and decision-support tool.
  • Identifying the risks associated with drilling a well is probably the most subjective process in well planning today. This is based on a person recognizing part of a technical well design that is out of place relative to the earth properties or mechanical equipment to be used to drill the well. The identification of any risks is brought about by integrating all ofthe well, earth, and equipment information in the mind of a person and mentally sifting through all of the information, mapping the interdependencies, and based solely on personal experience extracting which parts ofthe project pose what potential risks to the overall success of that project. This is tremendously sensitive to human bias, the individual's ability to remember and integrate all ofthe data in their mind, and the individuals experience to enable them to recognize the conditions that trigger each drilling risk.
  • the Risk Assessment sub-task associated with the 'Automatic Well Planning Software System' ofthe present invention is a system that will automatically assess risks associated with the technical well design decisions in relation to the earth's geology and geomechanical properties and in relation to the mechanical limitations ofthe equipment specified or recommended for use.
  • One aspect ofthe present invention involves a method of determining and displaying risk information in response to a plurality of input data, the input data including a plurality of input data calculation results, comprising the steps of: comparing each calculation result of the plurality of input data calculation results ofthe input data with each logical expression of a plurality of logical expressions; ranking by the logical expression the calculation result; and generating a plurality of ranked individual risks in response to the ranking step, each ofthe plurality of ranked individual risks representing an input data calculation result that has been ranked by the logical expression as having either a high risk severity or a medium risk severity or a low risk severity; generating the risk information in response to the plurality of ranked individual risks; and displaying the risk information, the displaying step including displaying the risk information on a risk information display, the risk information display including a display ofthe plurality of ranked individual risks as a function of depth in a wellbore.
  • Another aspect ofthe present invention involves a method of determining and displaying risk information in response to a plurality of input data, the input data including a plurality of input data calculation results, comprising the steps of: comparing each calculation result ofthe plurality of input data calculation results ofthe input data with each logical expression of a plurality of logical expressions; ranking, by the logical expression, each the calculation result; and generating a plurality of ranked individual risks in response to the ranking step, each ofthe plurality of ranked individual risks representing an input data calculation result that has been ranked by the logical expression as having either a high risk severity or a medium risk severity or a low risk severity; generating a plurality of design tasks in response to the ranked individual risks; and displaying the risk information in response to the plurality of design tasks, the displaying step including displaying a risk information display, the risk information display including a display of each ofthe design tasks.
  • Another aspect ofthe present invention involves a method of determining and displaying risk information in response to a plurality of input data, the input data including a plurality of input data calculation results, comprising the steps of: comparing each calculation result ofthe plurality of input data calculation results ofthe input data with each logical expression of a plurality of logical expressions; ranking, by the logical expression, each the input data calculation result; and generating a plurality of ranked individual risks in response to the ranking step, each ofthe plurality of ranked individual risks representing an input data calculation result that has been ranked by the logical expression as having either a high risk severity or a medium risk severity or a low risk severity; generating the risk information in response to the plurality of ranked individual risks; and displaying the risk information, the displaying step including displaying a risk information display, the risk information display including a display ofthe plurality ofthe ranked individual risks extending along a length of a wellbore.
  • Another aspect ofthe present invention involves a program storage device readable by a machine tangibly embodying a program of instructions executable by the machine to perform method steps for determining and displaying risk information in response to a plurality of input data, the input data including a plurality of input data calculation results, the method steps comprising: comparing each calculation result ofthe plurality of input data calculation results ofthe input data with each logical expression of a plurality of logical expressions; ranking by the logical expression the calculation result; and generating a plurality of ranked individual risks in response to the ranking step, each ofthe plurality of ranked individual risks representing an input data calculation result that has been ranked by the logical expression as having either a high risk severity or a medium risk severity or a low risk severity; generating the risk information in response to the plurality of ranked individual risks; and displaying the risk information, the displaying step including displaying the risk information on a risk information display, the risk information display including a display of the plurality of ranked individual risks as a function of depth in
  • Another aspect ofthe present invention involves a program storage device readable by a machine tangibly embodying a program of instructions executable by the machine to perform method steps for determining and displaying risk information in response to a plurality of input data, the input data including a plurality of input data calculation results, the method steps comprising: comparing each calculation result ofthe plurality of input data calculation results ofthe input data with each logical expression of a plurality of logical expressions; ranking, by the logical expression, each the calculation result; and generating a plurality of ranked individual risks in response to the ranking step, each ofthe plurality of ranked individual risks representing an input data calculation result that has been ranked by the logical expression as having either a high risk severity or a medium risk severity or a low risk severity; generating a plurality of design tasks in response to the ranked individual risks; and displaying the risk information in response to the plurality of design tasks, the displaying step including displaying a risk information display, the risk information display including a display of each ofthe design tasks.
  • Another aspect ofthe present invention involves a program storage device readable by a machine tangibly embodying a program of instructions executable by the machine to perform method steps for determining and displaying risk information in response to a plurality of input data, the input data including a plurality of input data calculation results, the method steps comprising: comparing each calculation result ofthe plurality of input data calculation results ofthe input data with each logical expression of a plurality of logical expressions; ranking, by the logical expression, each the input data calculation result; and generating a plurality of ranked individual risks in response to the ranking step, each ofthe plurality of ranked individual risks representing an input data calculation result that has been ranked by the logical expression as having either a high risk severity or a medium risk severity or a low risk severity; generating the risk information in response to the plurality of ranked individual risks; and displaying the risk information, the displaying step including displaying a risk information display, the risk information display including a display ofthe plurality ofthe ranked individual risks extending along a
  • figure 1 illustrates a software architecture schematic indicating a modular nature to support custom workflows
  • figure 2 including figures 2A, 2B, 2C, and 2D illustrate a typical task view consisting of workflow, help and data canvases;
  • figure 3 including figures 3 A, 3B, 3C, and 3D illustrate wellbore stability, mud weights, and casing points;
  • figure 4 including figures 4 A, 4B, 4C, and 4D illustrate risk assessment
  • figure 5 including figures 5 A, 5B, 5C, and 5D illustrate a Monte Carlo time and cost distribution
  • figure 6 including figures 6A, 6B, 6C, and 6D illustrate a probabilistic time and cost vs. depth;
  • figure 7 including figures 7A, 7B, 7C, and 7D illustrate a summary montage
  • figure 8 illustrates a workflow in an 'Automatic Well Planning Software System' of the present invention
  • figure 9A illustrates a computer system storing an Automatic Well Planning Risk Assessment Software ofthe present invention
  • figure 9B illustrates a display as shown on a Recorder or Display device ofthe Computer System of figure 9A;
  • figure 10 illustrates a detailed construction ofthe Automatic Well Planning Risk Assessment Software stored in the Computer System of figure 9A;
  • figure 11 illustrates a block diagram which is used during a functional description of the operation ofthe present invention
  • figure 12 including figures 12A, 12B, 12C, and 12D illustrates one example ofthe risk assessment output data 18bl being recorded or displayed on the recorder or display device 18b in figure 9B in accordance with one aspect ofthe present invention, figure 12 illustrating a screen shot of a two-dimensional risk representation as a function of depth in a wellbore;
  • figure 13 including figures 13 A, 13B, 13C, and 13D illustrates another example of the risk assessment output data 18bl being recorded or displayed on the recorder or display device 18b in figure 9B in accordance with another aspect ofthe present invention, figure 13 illustrating a screen shot of a two dimensional risk representation as a function of a particular design task;
  • figure 1 illustrates another example ofthe risk assessment output data 18bl being recorded or displayed on the recorder or display device 18b in figure 9B in accordance with another aspect ofthe present invention, figure 14 illustrating an example of a data output of a risk assessment quantification per risk category as a function of depth in the wellbore;
  • figures 15 illustrates another example ofthe risk assessment output data 18bl being recorded or displayed on the recorder or display device 18b in figure 9B in accordance with another aspect ofthe present invention, figure 15 illustrating an example ofthe risk categories displayed in three dimensions in a visualization environment;
  • figures 16 and 17 represent another construction ofthe example ofthe risk categories displayed in three dimensions in a visualization environment which is illustrated in figure 15.
  • the 'Automatic Well Planning Software System' is a "smart" tool for rapid creation of a detailed drilling operational plan that provides economics and risk analysis.
  • the user inputs trajectory and earth properties parameters; the system uses this data and various catalogs to calculate and deliver an optimum well design thereby generating a plurality of outputs, such as drill string design, casing seats, mud weights, bit selection and use, hydraulics, and the other essential factors for the drilling task.
  • System tasks are arranged in a single workflow in which the output of one task is included as input to the next. The user can modify most outputs, which permits fine-tuning ofthe input values for the next task.
  • the 'Automatic Well Planning Software System' has two primary user groups: (1) Geoscientist: Works with trajectory and earth properties data; the 'Automatic Well Planning Software System' provides the necessary drilling engineering calculations; this allows the user to scope drilling candidates rapidly in terms of time, costs, and risks; and (2) Drilling engineer: Works with wellbore geometry and drilling parameter outputs to achieve optimum activity plan and risk assessment; Geoscientists typically provide the trajectory and earth properties data.
  • the scenario which consists ofthe entire process and its output, can be exported for sharing with other users for peer review or as a communication tool to facilitate project management between office and field. Variations on a scenario can be created for use in business decisions.
  • the 'Automatic Well Planning Software System' can also be used as a training tool for geoscientists and drilling engineers.
  • the 'Automatic Well Planning Software System' will enable the entire well construction workflow to be run through quickly. In addition, the 'Automatic Well Planning Software System' can ultimately be updated and re-run in a time-frame that supports operational decision making. The entire replanning process must be fast enough to allow users to rapidly iterate to refine well plans through a series of what-if scenarios.
  • the decision support algorithms provided b;y the 'Automatic Well Planning Software System' disclosed in this specification would link geological and geomechanical data with the drilling process (casing points, casing design, cement, mud, bits, hydraulics, etc) to produce estimates and a breakdown ofthe well time, costs, and risks. This will allow interpretation variations, changes, and updates ofthe Earth Model to be quickly propogated through the well planning process.
  • the software associated with the aforementioned 'Automatic Well Planning Sof ware System' accelerates the prospect selection, screening, ranking, and well construction workflows.
  • the target audiences are two fold: those; who generate drilling prospects, and those who plan and drill those prospects. More specifically, the target audiences include: Asset Managers, Asset Teams (Geologists, Geophysicists, Reservoir Engineers, and Production Engineers), Drilling Managers, and Drilling Engineers.
  • Asset Teams will use the software associated with the 'Automatic Well Planning Software System' as a scoping tool for cost estimates, and assessing mechanical feasibility, so that target selection and well placement decisions can be made more knowledgeably, and more efficiently. This process will encourage improved subsurface evaluation and provide a better appreciation of risk and target accessibility. Since the system can be configured to adhere to company or local design standards, guidelines, and operational practices, users will be confident that well plans are technically sound.
  • Drilling Engineers will use the software associated with the 'Automatic Well Planning Software System' disclosed in this specification for rapid scenario planning, risk identification, and well plan optimization. It will also be used for training, in planning centers, universities, and for looking at the drilling of specific wells, electronically drilling the well, scenario modeling and 'what-if exercises, prediction and diagnosis of events, post- drilling review and knowledge transfer.
  • the software associated with the 'Automatic Well Planning Software System' will enable specialists and vendors to demonstrate differentiation amongst new or competing technologies. It will allow operators to quantify the risk and business impact ofthe application of these new technologies or procedures.
  • the 'Automatic Well Planning Software System' disclosed in this specification will: (1) dramatically improve the efficiency ofthe well planning and drilling processes by incorporating all available data and well engineering processes in a single predictive well construction model, (2) integrate predictive models and analytical solutions for wellbore stability, mud weights & casing seat selection, tubular & hole size selection, tubular design, cementing, drilling fluids, bit selection, rate of penetration, BHA design, drillstring design, hydraulics, risk identification, operations planning, and probabilistic time and cost estimation, all within the framework of a mechanical earth model, (3) easily and interactively manipulate variables and intermediate results within individual scenarios to produce sensitivity analyses.
  • the software associated with the 'Automatic Well Planning Software System' was developed using the 'Ocean' framework owned by Schlumberger Technology Corporation of Houston, Texas. This framework uses Microsoft's .NET technologies to provide a software development platform which allows for easy integration of COTS software tools with a flexible architecture that was specifically designed to support custom workflows based on existing drilling algorithms and technologies.
  • FIG 1 a software architecture schematic is illustrated indicating the 'modular nature' for supporting custom workflows.
  • Figure 1 schematically shows the modular architecture that was developed to support custom workflows. This provides the ability to configure the application based on the desired usage. For a quick estimation ofthe time, cost and risk associated with the well, a workflow consisting of lookup tables and simple algorithms can be selected. For a more detailed analysis, complex algorithms can be included in the workflow.
  • the software associated with the 'Automatic Well Planning Software System' ofthe present invention was designed to use user-specified equipment catalogs for its analysis. This ensures that any results produced by the software are always based on local best practices and available equipment at the project site. From a usability perspective, application user interfaces were designed to allo> v the user to navigate through the workflow with ease.
  • FIG 2 shows a typical task view with its associated user canvases.
  • a typical task view consists of a workflow task bar, a dynamically updating help canvas, and a combination of data canvases based on COTS tools like log graphics, Data Grids, Wellbore Schematic and charting tools.
  • the user has the option to n odify data through any ofthe canvases; the application then automatically synchronizes the data in the other canvases based on these user modifications.
  • the 'Automatic Well Planning Software System' disclosed in this specification requires the loading of either geomechanical earth properties extracted from an earth model, or, at a minimum, pore pressure, fracture gradient, and unconfined compressive strength. From this input data, the 'Automatic Well Planning Software System' automatically selects the most appropriate rig and associated properties, costs, and meclianical capabilities.
  • the rig properties include parameters like derrick rating to evaluate risks vhen running heavy casing strings, pump characteristics for the hydraulics, size ofthe BOP, which influences the sizes of the casings, and very importantly the daily rig rate and spread rate .
  • the user can select a different rig than what the 'Automatic Well Planning Software System' proposed and can modify any ofthe technical specifications suggested by the software.
  • the wellbore sizes are driven primarily by the production tubing size.
  • the preceding casing and hole sizes are determined using clearance factors.
  • the wellbore sizes can be restricted by additional constraints, such as logging requirements or platform slot size.
  • Casing weights, grades, and connection types are automatically calculated using traditional biaxial design algorithms and simple load cases for burst, collapse and tension. The most cost effective solution is chosen when multiple suitable pipes are found in the extensive tubular catalog. Non-compliance with the minimum required design factors are highlighted to the user, pointing out that a manual change ofthe proposed design may be in order.
  • the 'Automatic Well Planning Software System' allows full strings to be replaced with liners, in which case, the liner overlap and hanger cost are automatically suggested while all strings are redesigned as necessary to account for changes in load cases.
  • the cement slurries and placement are automatically proposed by the 'Automatic Well Planning Software System'.
  • the lead and tail cement tops, volumes, and densities are suggested.
  • the cementing hydrostatic pressures are validated against fracture pressures, while allowing the user to modify the slurry interval tops, lengths, and densities.
  • the cost is derived from the volume of the cement job and length of time required to place the cement.
  • the 'Automatic Well Planning Software System proposes the proper drilling fluid type including rheology properties that are required for hydraulic calculations.
  • a sophisticated scoring system ranks the appropriate fluid systems, based on operating environment, discharge legislation, temperature, fluid density, wellbore stability, wellbore friction and cost.
  • the system is proposing not more than 3 different fluid systems for a well, although the user can easily override the proposed fluid systems.
  • a new and novel algorithm used by the 'Automatic Well Planning Software System' selects appropriate bit types that are best suited to the anticipated rock strengths, hole sizes, and drilled intervals. For each bit candidate, the footage and bit life is determined by comparing the work required to drill the rock interval with the statistical work potential for that bit. The most economic bit is selected from all candidates by evaluating the cost per foot which takes into account the rig rate, bit cost, tripping time and drilling performance (ROP). Drilling parameters like string surface revolutions and weight on bit are proposed based on statistical or historical data.
  • the bottom hole assembly (BHA) and drillstring is designed based on the required maximum weight on bit, inclination, directional trajectory and formation evaluation requirements in the hole section.
  • the well trajectory influences the relative weight distribution between drill collars and heavy weight drill pipe.
  • the BHA components are automatically selected based on the hole size, the internal diameter ofthe preceding casings, and bending stress ratios are calculated for each component size transition. Final kick tolerances for each hole section are also calculated as part ofthe risk analysis.
  • the minimum flow rate for hole cleaning is calculated using Luo's 2 and Moore's 3 criteria considering the wellbore geometry, BHA configuration, fluid density and rheology, rock density, and ROP.
  • the bit nozzles total flow area (TFA) are sized to maximize the standpipe pressure within the liner operating pressure envelopes. Pump liner sizes are selected based on the flow requirements for hole cleaning and corresponding circulating pressures.
  • the Power Law rheology model is used to calculate the pressure drops through the circulating system, including the equivalent circulating density (ECD).
  • drilling event 'risks' are quantified in a total of 54 risk categories of which the user can customize the risk thresholds.
  • the risk categories are plotted as a function of depth and color coded to aid a quick visual interpretation of potential trouble spots. Further risk assessment is achieved by grouping these categories in the following categories: 'gains', 'losses', 'stuck pipe', and 'mechanical problems'.
  • the total risk log curve can be displayed along the trajectory to correlate drilling risks with geological markers. Additional risk analysis views display the "actual risk” as a portion ofthe "potential risk” for each design task.
  • a detailed operational activity plan is automatically assembled from customizable templates.
  • the duration for each activity is calculated based on the engineered results ofthe previous tasks and Non-Productive Time (NPT) can be included.
  • NPT Non-Productive Time
  • the activity plan specifies a range (minimum, average, and maximum) of time and cost for each activity and lists the operations sequentially as a function of depth and hole section. This information is graphically presented in the time vs depth and cost vs depth graphs.
  • FIG 5 a display showing Monte Carlo time and cost distributions is illustrated.
  • the 'Automatic Well Planning Software System' uses Monte Carlo simulation to reconcile all ofthe range of time and cost data to produce probabilistic time and cost distributions.
  • FIG 6 a display showing Probabilistic time and cost vs. depth is illustrated.
  • this probabilistic analysis used by the 'Automatic Well Planning Software System' ofthe present invention, allows quantifying the P10, P50 and P90 probabilities for time and cost.
  • FIG 7 a display showing a summary montage is illustrated.
  • a comprehensive summary report and a montage display utilized by the 'Automatic Well Planning Software System', can be printed or plotted in large scale and are also available as a standard result output.
  • the 'Automatic Well Planning Software System' disclosed in this specification automatically proposes sound technical solutions and provides a smooth path through the well planning workflow. Graphical interaction with the results of each task allows the user to efficiently fine-tune the results. In just minutes, asset teams, geoscientists, and drilling engineers can evaluate drilling projects and economics using probabilistic cost estimates based on solid engineering fundamentals instead of traditional, less rigorous estimation methods.
  • the testing program combined with feedback received from other users ofthe program during the development ofthe software package made it possible to draw the following conclusions: (1) The 'Automatic Well Planning Software System' can be installed and used by inexperienced users with a minimum amount of training and by referencing the documentation provided, (2) The need for good earth property data enhances the link to geological and geomechanical models and encourages improved subsurface interpretation; it can also be used to quanitfy the value of acquiring additional information to reduce uncertainty, (3) With a minimum amount of input data, the 'Automatic Well Planning Software System' can create reasonable probabilistic time and cost estimates faithful to an engineered well design; based on the field test results, if the number of casing points and rig rates are accurate, the results will be within 20% of a fully engineered well design and AFE, (4) With additional customization and localization, predicted results compare to within 10% of a fully engineered well design AFE, (5) Once the 'Automatic Well Planning Software System' has been localized, the ability to quickly run new scenarios and assess the business impact and associated risks of applying new
  • RT Real-Time, usually used in the context of real-time data (while drilling).
  • G&G Geological and Geophysical
  • NPT Non Productive Time, when operations are not planned, or due to operational difficulties, the progress ofthe well has be delayed, also often referred to as Trouble
  • BOD Basis of Design, document specifying the requirements for a well to be drilled.
  • AFE Authorization for Expenditure
  • a functional specification associated with the overall 'Automatic Well Planning Software System' ofthe present invention (termed a 'use case') will be set forth in the following paragraphs. This functional specification relates to the overall 'Automatic Well Planning Software System'.
  • Main Success Scenario This Scenario describes the steps that are taken from trigger event to goal completion when everything works without failure. It also describes any required cleanup that is done after the goal has been reached. The steps are listed below:
  • System prompts user for a well trajectory. The user either loads from a file or creates one in Caviar for Swordfish. System generates 3D view of trajectory in the earth model and 2D views, both plan and vertical section. User prompted to verify trajectory and modify if needed via direct interaction with 3D window.
  • the system will extract mechanical earth properties (PP, FG, WBS, lithology, density, strength, min/max horizontal stress, etc.) for every point along the trajectory and store it. These properties will either come from a populated mechanical earth model, from interpreted logs applied to this trajectory, or manually entered.
  • mechanical earth properties PP, FG, WBS, lithology, density, strength, min/max horizontal stress, etc.
  • the system will prompt the user for the rig constraints. Rig specification options will be offered and the user will choose either the type of rig and basic configurations or insert data manually for a specific drilling unit.
  • the system will prompt the user to enter pore pressure data, if applicable, otherwise taken from the mechanical earth model previously inserted and a MW window will be generated using PP, FG, and WBS curves.
  • the MW window will be displayed and allow interactive modification.
  • the system will automatically divide the well into hole/casing sections based on kick tolerance and trajectory sections and then propose a mud weight schedule. These will be displayed on the MW window and allow the user to interactively modify their values.
  • the casing points can also be interactively modified on the 2D and 3D trajectory displays
  • the system will prompt the user for casing size constraints (tubing size, surface slot size, evaluation requirements), and based on the number of sections generate the appropriate hole size - casing size combinations.
  • the hole/casing circle chart will be used, again allowing for interaction from the user to modify the hole/casing size progression.
  • the system will successively calculate casing grades, weights/wall thickness and connections based on the sizes selected and the depths. User will be able to interact and define availability of types of casing.
  • the system will generate a basic cementing program, with simple slurry designs and corresponding volumes.
  • the system will display the wellbore schematic based on the calculations previously performed and this interface will be fully interactive, allowing the user to click and drag hole & casing sizes, top & bottom setting depths, and recalculating based on these selections. System will flag user if the selection is not feasible.
  • the system will generate the appropriate mud types, corresponding rheology, and composition based on the lithology, previous calculations, and the users selection.
  • the system will successively split the well sections into bit runs, and based on the rock properties will select drilling bits for each section with ROP and drilling parameters.
  • the system will generate a basic BHA configuration, based on the bit section runs, trajectory and rock properties.
  • Items 14, 15, and 16 represent one task: Hydraulics. 14.
  • the system will run a hole cleaning calculation, based on trajectory, wellbore geometry, BHA composition and MW characteristics.
  • the system will do an initial hydraulics/ECD calculation using statistical ROP data. This data will be either selected or user defined by the system based on smart table lookup.
  • the system will perform an ROP simulation based on drilling bit characteristics and rock properties.
  • the system will run a successive hydraulics/ECD calculation using the ROP simulation data. System will flag user if parameters are not feasible.
  • the system will calculate the drilling parameters and display them on a multi display panel. This display will be exportable, portable, and printable.
  • the system will generate an activity planning sequence using default activity sequences for similar hole sections and end conditions. This sequence will be fully modifiable by the user, permitting modification in sequence order and duration ofthe event. This sequence will be in the same standard as the Well Operations or Drilling Reporting software and will be interchangeable with the Well Operations or Drilling Reporting software.
  • the durations of activities will be populated from tables containing default "best practice" data or from historical data (DIMS, Snapper).
  • the system will generate time vs. depth curve based on the activity planning details.
  • the system will create a best, mean, and worst set of time curves using combinations of default and historical data. These curves will be exportable to other documents and printable.
  • the system will prompt the user to select probability points such as P10, P50, P90 and then run a Monte Carlo simulation to generate a probability distribution curve for the scenario highlighting the user selected reference points and corresponding values of time.
  • the system will provide this as frequency data or cumulative probability curves. These curves will be again exportable and printable.
  • the system will generate a cost plan using default cost templates that are pre- configured by users and can be modified at this point. Many of the costs will reference durations of the entire well, hole sections, or specific activities to calculate the applied cost.
  • the system will generate P10, P50, and P90 cost vs. depth curves. 23.
  • the system will generate a summary ofthe well plan, in word format, along with the main display graphs. The user will select all that should be exported via a check box interface. The system will generate a large one-page summary of the whole process. This document will be as per a standard Well Operations Program template.
  • the 'Automatic Well Planning Software System' ofthe present invention includes a plurality of tasks. Each of those tasks are illustrated in figure 8.
  • those plurality of tasks are divided into four groups: (1) Input task 10, where input data is provided, (2) Wellbore Geometry task 12 and Drilling Parameters task 14, where calculations are performed, and (3) a Results task 16, where a set of results are calculated and presented to a user.
  • the Input task 10 includes the following sub-tasks: (1) scenario information, (2) trajectory, (3) Earth properties, (4) Rig selection, (5) Resample Data.
  • the Wellbore Geometry task 12 includes the following sub-tasks: (1) Wellbore stability, (2) Mud weights and casing points, (3) Wellbore sizes, (4) Casing design, (5) Cement design, (6) Wellbore geometry.
  • the Drilling Parameters task 14 includes the following sub-tasks: (1) Drilling fluids, (2) Bit selection, (3) Drillstring design, (4) Hydraulics.
  • the Results task 16 includes the following sub-tasks: (1) Risk Assessment 16a, (2) Risk Matrix, (3) Time and cost data, (4) Time and cost chart, (5) Monte Carlo, (6) Monte Carlo graph, (7) Summary report, and (8) montage.
  • Identifying the risks associated with drilling a well is probably the most subjective process in well planning today. This is based on a person recognizing part of a technical well design that is out of place relative to the earth properties or mechanical equipment to be used to drill the well. The identification of any risks is brought about by integrating all ofthe well, earth, and equipment information in the mind of a person and mentally sifting through all of the information, mapping the interdependencies, and based solely on personal experience extracting which parts ofthe project pose what potential risks to the overall success of that project. This is tremendously sensitive to human bias, the individual's ability to remember and integrate all ofthe data in their mind, and the individuals experience to enable them to recognize the conditions that trigger each drilling risk.
  • the Risk Assessment sub-task 16a associated with the 'Automatic Well Planning Software System' ofthe present invention is a system that will automatically assess risks associated with the technical well design decisions in relation to the earth's geology and geomechanical properties and in relation to the mechanical limitations ofthe equipment specified or recommended for use.
  • Risks are calculated in four ways: (1) by 'Individual Risk Parameters', (2) by 'Risk Categories', (3) by 'Total Risk', and (4) the calculation of 'Qualitative Risk Indices' for each.
  • Group/category risks are calculated by incorporating all ofthe individual risks in specific combinations. Each individual risk is a member of one or more Risk Categories.
  • Four principal Risk Categories are defined as follows: (1) Gains, (2) Losses, (3) Stuck, and (4) Mechanical; since these four Rick Categories are the most common and costly groups of troublesome events in drilling worldwide.
  • the Total Risk for a scenario is calculated based on the cumulative results of all of the group/category risks along both the risk and depth axes.
  • Each individual risk parameter is used to produce an individual risk index which is a relative indicator ofthe likelihood that a particular risk will occur. This is purely qualitative, but allows for comparison ofthe relative likelihood of one risk to another - this is especially indicative when looked at from a percentage change.
  • Each Risk Category is used to produce a category risk index also indicating the likelihood of occurrence and useful for identifying the most likely types of trouble events to eKpect. Finally, a single risk index is produced for the scenario that is specifically useful for comparing the relative risk of one scenario to another.
  • the 'Automatic Well Planning Software System' ofthe present invention is capable of delivering a comprehensive technical risk assessment, and it can do this automatically. Lacking an integrated model ofthe technical well design to relate design decisions to associated risks, the 'Automatic Well Planning Software System' can attribute the risks to specific design decisions and it can direct users to the appropriate place to modify a design choice in efforts to modify the risk profile ofthe well.
  • the Computer System 18 includes a Processor 18a connected to a system bus, a Recorder or Display Device 18b connected to the system bus, and a Memory or Program Storage Device 18c connected to the system bus.
  • the Recorder or Display Device 18b is adapted to display 'Risk Assessment Output Data' 18bl.
  • the Memory or Program Storage Device 18c is adapted to store an 'Automatic Well Planning Risk Assessment Software' 18cl .
  • the 'Automatic Well Planning Risk Assessment Software' 18cl is originally stored on another 'program storage device', such as a hard disk; however, the hard disk was inserted into the Computer System 18 and the 'Automatic Well Planning Risk Assessment Software' 18cl was loaded from the hard disk into the Memory or Program Storage Device 18c ofthe Computer System 18 of figure 9A.
  • a Storage Medium 20 containing a plurality of 'Input Data' 20a is adapted to be connected to the system bus ofthe Computer System 18, the 'Input Data' 20a being accessible to the Processor 18a ofthe Computer System 18 when the Storage Medium 20 is connected to the system bus ofthe Computer System 18.
  • the Processor 18a of the Computer System 18 will execute the Automatic Well Planning Risk Assessment Software 18c 1 stored in the Memory or Program Storage Device 18c ofthe Computer System 18 while, simultaneously, using the 'Input Data' 20a stored in the Storage Medium 20 during that execution.
  • the Processor 18a completes the execution ofthe Automatic Well Planning Risk Assessment Software 18cl stored in the Memory or Program Storage Device 18c (while using the 'Input Data' 20a)
  • the Recorder or Display Device 18b will record or display the 'Risk Assessment Output Data' 18bl, as shown in figure 9A.
  • the 'Risk Assessment Output Data' 18bl can be displayed on a display screen ofthe Computer System 18, or the 'Risk Assessment Output Data' 18b 1 can be recorded on a printout which is generated by the Computer System 18.
  • the Computer System 18 of figure 9 A may be a personal computer (PC).
  • the Memory or Program Storage Device 18c is a computer readable medium or a program storage device which is readable by a machine, such as the processor 18a.
  • the processor 18a may be, for example, a microprocessor, microcontroller, or a mainframe or workstation processor.
  • the Memory or Program Storage Device 18c which stores the 'Automatic Well Planning Risk Assessment Software' 18cl, may be, for example, a hard disk, ROM, CD-ROM, DRAM, or other RAM, flash memory, magnetic storage, optical storage, registers, or other volatile and/or non-volatile memory.
  • FIG 9B a larger view ofthe Recorder or Display Device 18b of figure 9A is illustrated.
  • the 'Risk Assessment Output Data' 18b 1 includes:
  • the Recorder or Display Device 18b of figure 9B will display or record the 'Risk Assessment Output E ata' 18bl including the Risk Categories, the Subcategory Risks, and the Individual Risks.
  • the 'Automatic Well Planning Risk Assessment Software' 18cl includes a first block which stores the Input Data 20a, a second block 22 which stores a plurality of Risk Assessment Logical Expressions 22; a third block 24 which stores a plurality of Risk Assessment Algorithms 24, a fourth " block 26 which stores a plurality of Risk Assessment Constants 26, and a fifth block 28 which stores a plurality of Risk Assessment Catalogs 28.
  • the Risk Assessment Constants 26 include values which are used as input for the Risk Assessment Algorithms 24 and the Risk Assessment Logical Expressions 22.
  • the Risk Assessment Catalogs 28 include look-up values vhich are used as input by the Risk; Assessment Algorithms 24 and the Risk Assessment Logical Expressions 22.
  • the 'Input Data' 20a includes values which are used as input for the Risk Assessment Algorithms 24 and the Risk Assessment Logical Expressions 22.
  • the '-Risk Assessment Output Data' 18bl includes values which are computed by the Risk Assessment Algorithms 24 and which result from the Risk Assessment Logical Expressions 22.
  • the Processor 18a ofthe Computer System 18 of figure 9A executes the Automatic Well Planning Risk Assessment Software 18cl by executing the Risk Assessment Logical Expressions 22 and the Risk Assessment Algorithms 24 ofthe Risk Assessment Software 18cl while, simultaneously, using the 'Input Data' 20a, the Risk Assessment Constants 26, and the values stored in the Risk Assessment Catalogs 28 as 'input data' for the Risk Assessment Logical Expressions 22 and the Risk Assessment Algorithms 24 during that execution.
  • the 'Risk Assessment Output Data' 18bl which are generated by the 'Risk Assessment Algorithms' 24.
  • the 'Risk Assessment Output Data' 18bl which is generated by the 'Risk Assessment Algorithms' 24, includes the following types of output data: (1) Risk Categories, (2) Subcategory Risks, and (3) Individual Risks.
  • the 'Risk Categories', 'Subcategory Risks', and 'Individual Risks' included within the 'Risk Assessment Output Data' 18bl comprise the following:
  • the 'Risk Assessment Logical Expressions' 22 will: (1) receive the 'Input Data 20a' including a 'plurality of Input Data calculation results' that has been generated by the 'Input Data 20a'; (2) determine whether each ofthe 'plurality of Input Data calculation results' represent a high risk, a medium risk, or a low risk; and (3) generate a 'plurality of Risk Values' (also known as a 'plurality of Individual Risks), in response thereto, each ofthe plurality of Risk Values/plurality of Individual Risks representing a 'an Input Data calculation result' that has been 'ranked' as either a 'high risk', a 'medium risk', or a 'low risk'.
  • the Risk Assessment Logical Expressions 22 include the following:
  • H2S and C02 present for scenario indicated by user (per well)
  • Bit_ROP Bit_ROP
  • the 'Risk Assessment Logical Expressions' 22 will: (1) receive the 'Input Data 20a' including a 'plurality of Input Data calculation results' that has been generated by the 'Input Data 20a'; (2) determine whether each ofthe 'plurality of Input Data calculation results' represent a high risk, a medium risk, or a low risk; and (3) generate a plurality of Risk Values/plurality of Individual Risks in response thereto, where each ofthe plurality of Risk Values/plurality of Individual Risks represents a 'an Input Data calculation result' that has been 'ranked' as having either a 'high risk' severity, or a 'medium risk' severity, or a 'low risk' severity. For example, recall the following task:
  • the 'Risk Assessment Logical Expressions' 22 will rank each ofthe 'Input Data calculation results' as either a 'high risk' or a 'medium risk' or a 'low risk' thereby generating a 'plurality of ranked Risk Values', also known as a 'plurality of ranked Individual Risks'.
  • the 'Risk Assessment Logical Algorithms' 24 will then assign a 'value' and a 'color' to each ofthe plurality of ranked Individual Risks received from the Logical Expressions 22, where the 'value' and the 'color' depends upon the particular ranking (i.e., the 'high risk' rank, or the 'medium risk' rank, or the 'low risk' rank) that is associated with each ofthe plurality of ranked Individual Risks.
  • the 'value' and the 'color' is assigned, by the 'Risk Assessment Algorithms' 24, to each ofthe plurality of Individual Risks received from the Logical Expressions 22 in the following manner:
  • the 'Risk Assessment Algorithms' 24 will then assign a value '90' to that 'Input Data calculation result' and a color 'red' to that 'Input Data calculation result'.
  • the 'Risk Assessment Logical Expressions' 22 assigns a 'medium risk' rank to a particular 'Input Data calculation result'
  • the 'Risk Assessment Algorithms' 24 will then assign a value '70' to that 'Input Data calculation result' and a color 'yellow' to that 'Input Data calculation result'.
  • the 'Risk Assessment Algorithms' 24 will then assign a value '10' to that 'Input Data calculation result' and a color 'green' to that 'Input Data calculation result'.
  • the Risk Assessment Algorithms 24 will assign to each ofthe 'Ranked Individual Risks' a value of 90 and a color 'red' for a high risk, a value of 70 and a color 'yellow' for the medium risk, and a value of 10 and a color 'green' for the low risk.
  • the Risk Assessment Algorithms 24 will also generate a plurality of ranked 'Risk Categories' and a plurality of ranked 'Subcategory Risks'
  • the eight 'Risk Categories' include the following: (1) an Individual Risk, (2) an Average Individual Risk, (3) a Risk Subcategory (or Subcategory Risk), (4) an Average Subcategory Risk, (5) a Risk Total (or Total Risk), (6) an Average Total Risk, (7) a potential Risk for each design task, and (8) an Actual Risk for each design task.
  • the 'Risk Assessment Algorithms' 24 will now calculate and establish and generate the above referenced 'Risk Categories (2) through (8)' in response to the plurality of Risk Values/plurality of Individual Risks received from the 'Risk Assessment Logical Expressions' 22 in the following manner:
  • N j either 1 or 0 depending on whether the Risk Valu ⁇ j contributes to the sub category
  • Severity j from the risk matrix catalog. Red risk display for Risk Subcategory ⁇ 40 Yellow risk display for 20 ⁇ Risk Subcategory ⁇ 40 Green risk display for Risk Subcategory ⁇ 20
  • Average subcategory risk ⁇ risk multiplier
  • n number of sample points.
  • the value for the average subcategory risk is displayed at the bottom ofthe colored subcategory risk track.
  • the total risk calculation is based on the following categories: (a) gains, (b) losses, (c) stuck, and (d) mechanical.
  • n number of sample points.
  • the value for the average total risk is displayed at the bottom ofthe colored total risk track.
  • N either 0 or 1 depending on whether the Risk Valu ⁇ j contributes to the design task.
  • the Input Data 20a shown in figure 9A will be introduced as 'input data' to the Computer System 18 of figure 9A.
  • the Processor 18a will execute the Automatic Well Planning Risk Assessment Software 18cl, while using the Input Data 20a, and, responsive thereto, the Processor 18a will generate the Risk Assessment Output Data 18bl, the Risk Assessment Output Data 18bl being recorded or displayed on the Recorder or Display Device 18b in the manner illustrated in figure 9B.
  • the Risk Assessment Output Data 18bl includes the 'Risk Categories', the 'Subcategory Risks', and the 'Individual Risks'.
  • the Input Data 20a (and the Risk Assessment Constants 26 and the Risk Assessment Catalogs 28) are collectively provided as 'input data' to the Risk Assessment Logical Expressions 22.
  • the Input Data 20a includes a 'plurality of Input Data Calculation results' .
  • the 'plurality of Input Data Calculation results' associated with the Input Data 20a will be provided directly to the Logical Expressions block 22 in figure 11.
  • each ofthe 'plurality of Input Data Calculation results' from the Input Data 20a will be compared with each ofthe 'logical expressions' in the Risk Assessment Logical Expressions block 22 in figure 11.
  • a match is found between an 'Input Data Calculation result' from the Input Data 20a and an 'expression' in the Logical Expressions block 22, a 'Risk Value' or 'Individual Risk' 34 will be generated (by the Processor 18a) from the Logical Expressions block 22 in figure 11.
  • the Logical Expressions block 22 will generate a plurality of Risk Values/plurality of Individual Risks 34 in figure 11, where each ofthe plurality of Risk Values/plurality of Individual Risks on line 34 in figure 11 that are generated by the Logical Expressions block 22 will represent an 'Input Data Calculation result' from the Input Data 20a that has been ranked as either a 'High Risk', or a 'Medium Risk', or a 'Low Risk' by the Logical Expressions block 22.
  • a 'Risk Value' or 'Individual Risk' is defined as an 'Input Data Calculation result' from the Input Data 20a that has been matched with one ofthe 'expressions' in the Logical Expressions 22 and ranked, by the Logical Expressions block 22, as either a 'High Risk', or a 'Medium Risk', or a 'Low Risk'. For example, consider the following 'expression' in the Logical Expressions' 22:
  • the 'Hole End - HoleStart' calculation is an 'Input Data Calculation result' from the Input Data 20a.
  • the Processor 18a will find a match between the 'Hole End - HoleStart Input Data Calculation result' originating from the Input Data 20a and the above identified 'expression' in the Logical Expressions 22.
  • the Logical Expressions block 22 will 'rank' the 'Hole End - HoleStart Input Data Calculation result' as either a 'High Risk', or a 'Medium Risk', or a 'Low Risk' depending upon the value ofthe 'Hole End - HoleStart Input Data Calculation result'.
  • the 'Risk Assessment Logical Algorithms' 24 will then assign a 'value' and a 'color' to that ranked 'Risk Value' or ranked 'Individual Risk', where the 'value' and the 'color' depends upon the particular ranking (i.e., the 'high risk' rank, or the 'medium risk' rank, or the 'low risk' rank) that is associated with that 'Risk Value' or 'Individual Risk'.
  • the 'value' and the 'color' is assigned, by the 'Risk Assessment Logical Algorithms' 24, to the ranked 'Risk Values' or ranked 'Individual Risk'.
  • the 'Risk Assessment Logical Expressions' 22 assigns a 'high risk' rank to the 'Input Data calculation result' thereby generating a ranked 'Individual Risk'
  • the 'Risk Assessment Logical Algorithms' 24 assigns a value '90' to that ranked 'Risk Value' or ranked 'Individual Risk' and a color 'red' to that ranked 'Risk Value' or that ranked 'Individual Risk'.
  • the 'Risk Assessment Logical Expressions' 22 assigns a 'medium risk' rank to the 'Input Data calculation result' thereby generating a ranked 'Individual Risk'
  • the 'Risk Assessment Logical Algorithms' 24 assigns a value '70' to that ranked 'Risk Value' or ranked 'Individual Risk' and a color 'yellow' to that ranked 'Risk Value' or that ranked 'Individual Risk'.
  • the 'Risk Assessment Logical Expressions' 22 assigns a 'low risk' rank to the 'Input Data calculation result' thereby generating a ranked 'Individual Risk'
  • the 'Risk Assessment Logical Algorithms' 24 assigns a value '10' to that ranked 'Risk Value' or ranked 'Individual Risk' and a color 'green' to that ranked 'Risk Value' or that ranked 'Individual Risk'.
  • a plurality of ranked Individual Risks (or ranked Risk Values) is generated, along line 34, by the Logical Expressions block 22, the plurality of ranked Individual Risks (which forms a part ofthe 'Risk Assessment Output Data' 18bl) being provided directly to the 'Risk Assessment Algorithms' block 24.
  • the 'Risk Assessment Algorithms' block 24 will receive the plurality of ranked Individual Risks' from line 34 and, responsive thereto, the 'Risk Assessment Algorithms' 24 will: (1) generate the 'Ranked Individual Risks' including the 'values' and 'colors' associated therewith in the manner described above, and, in addition, (2) calculate and generate the 'Ranked Risk Categories' 40 and the 'Ranked Subcategory Risks' 40 associated with the 'Risk Assessment Output Data' 18bl .
  • the 'Ranked Risk Categories' 40 and the 'Ranked Subcategory Risks' 40 and the 'Ranked Individual Risks' 40 can now be recorded or displayed on the Recorder or Display device 18b.
  • the 'Ranked Risk Categories' 40 include: an Average Individual Risk, an Average Subcategory Risk, a Risk Total (or Total Risk), an Average Total Risk, a potential Risk for each design task, and an Actual Risk for each design task.
  • the 'Ranked Subcategory Risks' 40 include: a Risk Subcategory (or Subcategory Risk).
  • the 'Risk Assessment Output Data' 18bl includes 'one or more Risk Categories' and 'one or more Subcategory Risks' and 'one or more Individual Risks'
  • the 'Risk Assessment Output Data' 18bl which includes the Risk Categories 40 and the Subcategory Risks 40 and the Individual Risks 40, can now be recorded or displayed on the Recorder or Display Device 18b ofthe Computer System 18 shown in figure 9A.
  • the 'Risk Assessment Algorithms' 24 will receive the 'Ranked Individual Risks' from the Logical Expressions 22 along line 34 in figure 11; and, responsive thereto, the 'Risk Assessment Algorithms' 24 will (1) assign the 'values' and the 'colors' to the 'Ranked Individual Risks' in the manner described above, and, in addition, (2) calculate and generate the 'one or more Risk Categories' 40 and the 'one or more Subcategory Risks' 40 by using the following equations (set forth above).
  • the average Individual Risk is calculated from the 'Risk Values' as follows:
  • the Subcategory Risk is calculated from the 'Risk Values' and the 'Severity', as defined above, as follows:
  • the Average Subcategory Risk is calculated from the Risk Subcategory in the following manner, as follows:
  • the Risk Total is calculated from the Risk Subcategory in the following manner, as follows:
  • the Potential Risk is calculated from the Severity, as defined above, as follow:

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Abstract

La présente invention concerne un procédé permettant d'évaluer et d'afficher une information sur les risques en réaction à une pluralité de données d'entrée, les données d'entrée incluant une pluralité de résultat de calcul des données d'entrée. L'invention réunit plusieurs opérations. On commence par comparer chaque résultat de calcul de la pluralité des résultats de calcul de données d'entrée des données d'entrée avec chacune des expressions logiques d'une pluralité d'expressions logiques. On classe le résultat de calcul en fonction de l'expression logique. On génère ensuite une pluralité de risques individuels en réaction à l'opération de classement, chacun des risques individuels classés représentant un résultat de calcul de données d'entrée qui a été classé d'après l'expression logique comme présentant une gravité de risque élevée, moyenne ou faible. On génère l'information de risque en réaction à la pluralité de risques individuels classés, et on affiche l'information de risque, laquelle opération comporte un affichage de l'information de risque sur un afficheur d'informations de risques.
PCT/US2005/009033 2004-03-17 2005-03-17 Procede, appareil et memoire a logiciels conçus pour la visualisation de l'evaluation qualitative et quantitative des risques sur la base du projet technique de forage du puits et des proprietes de la terre WO2005091196A1 (fr)

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CA002560062A CA2560062A1 (fr) 2004-03-17 2005-03-17 Procede, appareil et memoire a logiciels concus pour la visualisation de l'evaluation qualitative et quantitative des risques sur la base du projet technique de forage du puits etdes proprietes de la terre
MXPA06010578A MXPA06010578A (es) 2004-03-17 2005-03-17 Metodo y aparato y dispositivo de almacenamiento de programa adaptado para la valoracion automatica del riesgo cualitativo y cuantitativo con base en el diseno tecnico de pozos y las propiedades terrestres.
EA200601711A EA010708B1 (ru) 2004-03-17 2005-03-17 Способ, устройство и запоминающее устройство для хранения программ, выполненные с возможностью автоматической качественной и количественной оценки риска, на основе технической конструкции ствола скважины и свойствах породы
EP05725873A EP1725980A1 (fr) 2004-03-17 2005-03-17 Procede, appareil et memoire a logiciels con us pour la visualisation de l'evaluation qualitative et quantitative des risques sur la base du projet technique de forage du puits et des proprietes de la terre
NO20064179A NO20064179L (no) 2004-03-17 2006-09-15 Fremgangsmate, anordning og programlagringsutstyr tilpasset for visualisering av kvalitativ og kvantitativ risikobedommelse pa grunnlag av teknisk borehullutforelse og jordegenskaper

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US10/802,524 US7653563B2 (en) 2004-03-17 2004-03-17 Method and apparatus and program storage device adapted for automatic qualitative and quantitative risk assessment based on technical wellbore design and earth properties
US10/802,613 US7630914B2 (en) 2004-03-17 2004-03-17 Method and apparatus and program storage device adapted for visualization of qualitative and quantitative risk assessment based on technical wellbore design and earth properties

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WO2015130406A1 (fr) * 2014-02-28 2015-09-03 Landmark Graphics Corporation Estimation et surveillance d'usure de tubage pendant une opération de forage grâce à des cartes d'usure de tubage
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