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In the complete paper, the authors present a novel methodology to model interwell connectivity in mature waterfloods and achieve an improved reservoir-energy distribution and sweep pattern to maximize production performance by adjusting injection and production strategy on the well-control level. A Drilling Advisory System (DAS) is a rig-based drilling-surveillance and -optimization platform that encourages regular drilloff tests, carefully monitors drilling performance, and provides recommendations for controllable drilling parameters to help improve the overall drilling process. This paper proposes a framework based on proxies and rejection sampling (filtering) to perform multiple history-matching runs with a manageable number of reservoir simulations.
This paper presents the performance results from one of the waterflood pilots in the Viewfield Bakken. An 18-well numerical-simulation model was built to represent an operator’s Lower Shaunavon waterflood-pilot area. Numerical simulation was used, and a history match on the pilot area was performed.
Unconventional Risk and Uncertainty: What Does Success Look Like? This paper presents approaches for proper risking of uncertain recoverable volumes for an unconventional resource, taking into account the chance of false positives from appraisal-well information. The difficulty in applying traditional reservoir-simulation and -modeling techniques for unconventional-reservoir forecasting is often related to the systematic time variations in production-decline rates. This paper proposes a nonparametric statistical approach to resolve this difficulty. As the drilling industry improves its efforts to capture drilling operation activities in real time, it has generated a significant amount of data that drilling engineers cannot process on their own.
In the complete paper, the authors reduce nonuniqueness and ensure physically feasible results in multiwell deconvolution by incorporating constraints and knowledge to methodology already established in the literature. In the complete paper, the authors revisit fundamental concepts of reservoir simulation in unconventional reservoirs and summarize several examples that form part of an archive of lessons learned. In the complete paper, a novel hybrid approach is presented in which a physics-based nonlocal modeling framework is coupled with data-driven clustering techniques to provide a fast and accurate multiscale modeling of compartmentalized reservoirs. Fit-for-purpose tactics likely will be of ever-increasing focus going forward. If it is not adding value, it should not be done.
The industry increasingly relies on forecasts from reservoir models for reservoir management and decision making. However, because forecasts from reservoir models carry large uncertainties, calibrating them as soon as data come in is crucial. The complete paper explores the use of multilevel derivative-free optimization for history matching, with model properties described using principal component analysis (PCA) -based parameterization techniques. The results of the authors’ research showed promising benefits from the use of a systematic procedure of model diagnostics, model improvement, and model-error quantification during data assimilations. A challenging problem of automated history-matching work flows is ensuring that, after applying updates to previous models, the resulting history-matched models remain consistent geologically.
This is an interactive two-day course to facilitate good understanding of various kinds of petroleum fiscal arrangements, which govern the international petroleum E&P business. The course examines the fundamentals of, and economic principles underlying petroleum fiscal system analysis and design. The mechanics of estimating the effects of fiscal instruments of total government takes and E&P economics and take statistics are to be well discussed with consideration for risk and uncertainty. Understand and apply principles underlying international petroleum economics and commonly used economic tools in petroleum business decisions to analyze the PIB Explain the underlying economic and management principles affecting petroleum fiscal system analysis and design Understand the mechanics of various kinds of petroleum fiscal systems and the operational aspects of petroleum fiscal instruments and features underlying industry and government relationships. Identify why some economic decision variables and fiscal instruments that govern petroleum operations are so important in making exploration and production investment decisions.
Houston pipeline and refinery operator Phillips 66 is testing a private 5G cellphone network to control sensors at one of the company's facilities in Louisiana. The partnership will deliver autonomous robots for safe work in adverse land, sea, and downhole environments. During the conference, the company launched six pieces of technology focused on gathering and consolidating digital data. Morag Watson, senior vice president of digital science and engineering at BP, reveals how a data-driven approach can add a different dimension and where BP is on the digital curve. ConocoPhillips has deployed a low-code platform called Mendix to cut costs and increase efficiency, making it the first major oil and gas producer to use such technology across the company.
The difficulty in applying traditional reservoir-simulation and -modeling techniques for unconventional-reservoir forecasting is often related to the systematic time variations in production-decline rates. This paper proposes a nonparametric statistical approach to resolve this difficulty. In this work, the authors perform automatic decline analysis on Marcellus Shale gas wells and predict ultimate recovery for each well.