Systems and methods of determining an equivalent black oil model are disclosed. In one embodiment, a method of determining an equivalent black oil model of a reservoir includes generating three-dimensional PVT properties using a compositional model, calculating original fluid in place and reservoir performance characteristics from the three-dimensional PVT properties, and converting the three-dimensional PVT properties to a two-dimensional PVT table. The method further includes, until an equivalency metric is satisfied, generating one or more grouped PVT property tables, initializing a black oil model with the one or more grouped PVT property tables, calculating estimated fluid in place and estimated reservoir performance characteristics using the black oil model, and comparing the estimated fluid in place and the estimated reservoir performance characteristics with the original fluid in place and the reservoir performance characteristics to determine whether the equivalency metric is satisfied.

Provided are embodiments for hydrocarbon reservoir development that include the following: identifying proposed well locations within a reservoir boundary, for each location, developing a well plan by: (a) identifying layers of the reservoir located below the proposed location; (b) iteratively assessing the layers (from deepest to shallowest) to identify a deepest “suitable” layer that is not dry, congested, or unsuitable for gas production; and (c) performing the following for the identified layer and the location: (i) determining a borehole configuration for the location; (ii) determining a completion type for the location; and (iii) determining a stimulation treatment for the location, where a well plan for the location (e.g., for use in developing the reservoir) is generated that specifies some or all of a well location, the target layer, a borehole configuration, a completion type, and a stimulation treatment that corresponds to those determined for the proposed well location.

Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include determining a bottomhole pressure for the unconventional reservoir based, at least in part, on a tubing head pressure for one or more wells penetrating at least a portion of the unconventional reservoir, one or more fluid properties of a fluid in the unconventional reservoir, and a well production volume for the one or more wells; determining a Productivity Index (PI) for the unconventional reservoir, based, at least in part, on the one or more fluid properties and measured well data for the one or more wells, wherein the measured well data includes a well production rate and a well flowing pressure; and determining a fluid depletion of the unconventional reservoir based, at least in part, on the bottomhole pressure and the PI.

A method of sealing one or more leak paths includes positioning an isolation plug in a production tubing. The production tubing is disposed within a wellbore casing assembly, each extending into a subsurface. The wellbore casing assembly includes a production casing. A tubing/casing annulus is disposed between the production casing and the production tubing. The one or more leak paths are fluidly coupled to the production tubing and the tubing/casing annulus and the isolation plug is positioned at a depth location below the one or more leak paths. The method also includes perforating the production tubing at a depth location above the isolation plug to form one or more sealant injection holes fluidly coupling the production tubing and the tubing/casing annulus and directing a sealant into the production tubing such that the sealant enters the tubing/casing annulus through the one or more sealant injection holes.

A method of sealing one or more leak paths includes positioning an isolation plug in a production tubing. The production tubing is disposed within a wellbore casing assembly, each extending into a subsurface. The wellbore casing assembly includes a production casing. A tubing/casing annulus is disposed between the production casing and the production tubing. The one or more leak paths are fluidly coupled to the production tubing and the tubing/casing annulus and the isolation plug is positioned at a depth location below the one or more leak paths. The method also includes perforating the production tubing at a depth location above the isolation plug to form one or more sealant injection holes fluidly coupling the production tubing and the tubing/casing annulus and directing a sealant into the production tubing such that the sealant enters the tubing/casing annulus through the one or more sealant injection holes.

Embodiments herein relate to a technique that may include identifying historical data related to at least one remote well. The technique may further include identifying, based on the historical data, a correlation between gas flow capacity and estimated ultimate recovery (EUR) of the at least one other well. The technique may further include identifying gas flow capacity of a well. The technique may further include predicting, based on the gas flow capacity of the well and the identified correlation between gas flow capacity and EUR of the at least one other well, EUR of the well. The technique may further include operating the well based on the predicted EUR. Other embodiments may be described or claimed.

Systems and methods include a computer-implemented method for predicting values. A numerical simulation model is generated based on observed production rates and flowing pressure and build-up (FPBU) test rates. A simulated diagnostic plot is generated using simulated FPBU data extracted from the numerical simulation model. Simulation model properties of the numerical simulation model are adjusted until the simulated diagnostic plot matches within a tolerance to an observed FPBU diagnostic plot. Predicted values including a static pressure, a water cut, and a gas-oil rate (GOR) are predicted using the simulated FPBU data. Observed data of a reservoir is reviewed and quality-checked based on comparing the predicted values within a tolerance of the observed data.

Embodiments are directed to methods, systems and user interfaces for assessing reservoir management competency for a petroleum producing field. In one scenario, a computer system measures, using various hardware-based sensors positioned in a petroleum reservoir supplying the petroleum producing field, physical or geological characteristics of the petroleum reservoir. The computer system establishes a reservoir management competency scoring system that evaluates a specific set of objective criteria that reflect a level of reservoir management competency at the petroleum producing field, and automatically generates, according to the objective set of criteria of the reservoir management competency scoring system, a reservoir management rating for the petroleum reservoir based at least in part on data measured by the sensors placed in the petroleum reservoir. Then, based on the generated reservoir management rating, the computer system controls operation of production units configured to direct extraction operations at the petroleum producing field.

A computer-implemented method for providing a performance parameter value indicative of a production performance of a first floating hydrocarbon production plant. The first plant includes hydrocarbon processing equipment and a sensor for measuring a value of a process parameter of the hydrocarbon processing equipment. The method includes obtaining first plant data from the first plant, the data including data generated by the sensor, obtaining a trained predictive model for predicting or classifying the performance parameter value, and providing, based on the trained predictive model and the first plant data, the performance parameter value for the first plant. Obtaining the trained predictive model includes obtaining plant training data from a second floating hydrocarbon production plant, the data including data generated by a sensor for measuring a process parameter value of hydrocarbon processing equipment of the second plant, providing a predictive model, and training the predictive model using the plant training data.

A system includes a wellbore that extends from a surface into a subterranean formation. In addition, the system includes a power generation assembly including a fluid circuit that is in fluid communication with the wellbore wherein the power generation assembly is configured to generate electricity in response to a flow of a working fluid through the fluid circuit. Further, the system includes a bubble pump positioned within the wellbore that is configured to circulate the working fluid between the fluid circuit of the power generation assembly and the wellbore via a thermosiphon effect.