An apparatus, system and method for facilitating decision-making in connection with management of enterprise assets are disclosed. A real time expert decision support module is interfaced with an access portal including a navigation table for asset management, and with an historical parameter database associated with a distributed control system of plant end sensors and actuated control elements of a production process. The access portal and navigation table provide access to tools in the support module that facilitate real time decision making information delivery to the functional teams that support an asset, line of sight management performance models of team performance, practical performance analysis tools that extract information in real time from the process control system and other sources of asset data for translation into actionable information, and a real time interactive schematic environment.

Support apparatus, method and system for real time operations and maintenance

The invention relates to a method of performing production operations of an oilfield having at least one process facility and at least one wellsite operatively connected thereto, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include receiving a number of steps each from at least one of a number of collaborators, specifying an automated workflow including the number of steps and for generating a first well plan, obtaining first data associated with the production operations, applying the automated workflow to the first data to generate the first well plan, adjusting the production operations based on the first well plan, and modifying at least one of the number of steps based on input from at least one of the number of collaborators to generate an updated automated workflow.

System and method for performing oilfield simulation operations

The planning of offshore oil or gas field infrastructure under uncertainty is addressed in this article. The main uncertainties considered are in the initial maximum oil or gas flowrate, the recoverable oil or gas volume, and the water breakthrough time of the reservoir, which are represented by discrete distributions. Furthermore, it is assumed that these uncertainties are not immediately realized, but are gradually revealed as a function of design and operation decisions. To account for these decision-dependent uncertainties, we propose a multistage stochastic programming model that captures the complex economic objectives and nonlinear reservoir behavior and simultaneously optimizes the investment and operating decisions over the entire planning horizon. The proposed solution algorithm relies on a duality-based branch-and-bound method involving subproblems as nonconvex mixed-integer nonlinear programs. Several examples involving nonlinear reservoir models are presented to illustrate the application of ...

Stochastic Programming Approach for the Planning of Offshore Oil or Gas Field Infrastructure under Decision-Dependent Uncertainty

Data about operation of a well (204) for extracting a product from the subterranean reservoir (202) and at least one of a characteristic of a subterranean reservoir (202) or operation of a processing and transport system upstream of a point of sale is received. A corrective action can be automatically initiated on at least one of the well (204) or the processing and transport system (206) in response to a difference between the received data and a specified operational objective. An adjustment to a model (228) of the reservoir, the well, and the processing and transporting system can be automatically initiated in response to the received data.

Dynamic production system management

Visualizing region growing in 3D voxel volumes relates to generating a 3D scene having a plurality of voxels for representing a volume data set of seismic data collected from the oilfield, defining a segmentation algorithm for segmenting the volume data within the 3D scene, the segmentation algorithm comparing a pre-determined threshold to an attribute of a voxel of the plurality of voxels, defining a control parameter associated with the attribute for controlling the segmentation algorithm, adjusting the control parameter to guide the segmentation algorithm in segmenting the volume data set to generate a visualized geobody, and displaying the visualized geobody.

Visualizing region growing in three dimensional voxel volumes

A system comprising a memory and a processor. The memory is configured to store data and program instructions for a processing method. The processor is configured to read the program instructions from the memory. In response to execution of the program instructions, the processor is operable to: (a) instantiate one or more well process times associated with a first schedule; (b) instantiate a facility establishment time associated with first schedule; (c) instantiate zero or more dependency delays associated with the first schedule; (d) resolve event dates in the first schedule based on resolved event dates in one or more other schedules, the one or more instantiated well process times, the instantiated facility establishment time, and the instantiated dependency delays; (e) compute costs for facility establishment and well processes (e.g., well drilling and well completion) using the resolved event dates.

Stochastically generating facility and well schedules

A system and method may be configured to support the evaluation of the economic impact of uncertainties associated with the planning of a petroleum production project, e.g., uncertainties associated with decisions having multiple possible outcomes and uncertainties associated with uncontrollable parameters such as rock properties, oil prices, etc. The system and method involve receiving user input characterizing the uncertainty of planning variables and performing an iterative simulation that computes the economic return for various possible instantiations of the set of planning variables based on the uncertainty characterization. The system and method may (a) utilize and integrate highly rigorous physical reservoir, well, production flow, and economic models, and (b) provide a mechanism for specifying constraints on the planning variables. Furthermore, the system and method may provide a case manager process for managing multiple cases and associated “experimental runs” on the cases.

Method and system for scenario and case decision management

Developing large E&P assets requires long-term commitments of capital that are tied to decisions on facilities, wells, scheduling, and production strategy. The decisions often must be made in the project-planning phase when large uncertainties exist that can lead to project risks. We present an optimization system and method that enables finding more-optimal reservoir-planning and management-decision alternatives under conditions of uncertainty, such that the associated risks can be managed. The system integrates a global. stochastic search-optimization algorithm, finite-difference reservoir simulation, and economics. The optimization problem is posed with the business goal stated as the objective and includes economic, reservoir, and production constraints and statistical requirements. The optimization is illustrated in an example E&P asset with multiple oil fields produced through a common surface-pipeline network with uncertainties in reservoir volume, fluid quality, deliverability, and costs. Decision solutions seeking to maximize the mean net present value (NPV) while managing risk arc presented. The example includes multiperiod decisions on scheduling of reservoir units, number of wells, and production-process capacity.

Optimizing Multiple-Field Scheduling and Production Strategy with Reduced Risk

Making better decisions, which take into account uncertainty in all the components of an exploration and production (E&P) asset’s value chain, continues to be a significant challenge for the industry. The literature of the last few years has emphasized the importance of workflows that integrate and include formal quantification of uncertainties across subsurface, well locations, well configurations and operations, surface interconnections, and economics. Much of the effort has focused on scenario and probabilistic analysis decision support techniques. The industry continues to make many field development decisions from flow simulation ‘sensitivity cases’ or from simplified models, which can have the effect of underestimating the full uncertainty and adding unnecessary constraints. This paper presents an integrated system that can assist field development decisions. The complex relationships between the earth models, the development strategy and the economics are retained in the development decision process. A full-physics reservoir simulator is used to maintain high fidelity to the physics of both the subsurface and surface components. The interdependencies of underlying uncertainties can affect the choices to be made. The system described can be implemented for project decisions at any stage within an asset’s

Better Field Development Decisions from Multi-Scenario, Interdependent Reservoir, Well, and Facility Simulations

A client-server based system for building and executing flows (i.e., interconnected systems of algorithms). The client allows a user to build a flow specification and send the flow specification to the server. The server assembles the flow from the flow spec and executes the flow. A flow may be configured to analyze the impact (e.g., the financial impact) of a number of uncertainties associated with a plurality of assets. Uncertainty variables are used to characterize the uncertainties associated with the assets. An uncertainty variable associated with one asset may be functionally dependent on an uncertainty variable associated with another asset.

Analysis of multiple assets in view of uncertainties

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