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For the upstream industry, where improvement in efficiency or production can drive significant financial results, there is no question that the size of the digital prize is huge. In this study, the authors use a quantitative seismic interpretation work flow (QSI) based on a rock-physics template in estimating the uncertainty of the geochemical properties of organic mudrocks of the Shublik formation of the Alaskan North Slope. This paper demonstrates how maintaining investment in high-quality 3D seismic during the last downturn, together with selective exploration, quality geoscience, application of new technologies, and efficiently maturing discoveries to early cash flow, was successful in sustaining future production. In this paper, the authors propose a least-squares Q migration (LSQM) method that combines the benefits of both LSM and Q prestack depth migration (QPSDM) to improve the amplitude fidelity and image resolution of seismic data. Happily, in this past year, we witnessed several examples of marriage between two themes—exciting technology advances and the recent economic downturn.
A new report takes a look at how digital technologies are disrupting the Oil & Gas industry and provides practical strategies for organizations to manage the process. Presentations at OTC's d5 event included discussion about the impact of industry disruption, the need for innovation, learning from technology failures, and how diversity contributes to success.
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. This paper describes an accurate, three-step, machine-learning-based early warning system that has been used to monitor production and guide strategy in the Shengli field. This paper discusses how machine learning by use of multiple linear regression and a neural network was used to optimize completions and well designs in the Duvernay shale.
Two key themes have underpinned the advancement of human society: innovative technologies and an abu ... Planning has begun for the 2021 Offshore Technology Conference (OTC) after the cancellation of the 2 ... These extraordinary times have already shown us how we, as members of the industry and citizens of t ... Energy Literacy—What Does It Mean? Where does energy come from? What is the cost and impact on our environment? How Can Your Section Get Involved?
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.
The amount of uncertainty related to directional drilling makes accurate drilling challenging, leaving much to human know-how and interpretation. Additionally, few path-planning methods in the literature consider the directional steering tool being used. This paper examines multiple factors that can affect the severity of stick/slip and measures their actual effect. The advent of the rotary-steerable system (RSS) introduced an efficient way to drill both current and future wells. However, current tools still fail to replace positive displacement motors (PDMs).
The single independent riser (SIR) is a hybrid riser configuration optimized for ultradeepwater field development. The SIR is composed of a flexible jumper and a rigid part vertically tensioned by means of distributed or continuous buoyancy. This paper describes an automated work flow that uses sensor data and machine-learning (ML) algorithms to predict and identify root causes of impending and unplanned shutdown events and provide actionable insights. The Monument well represents the Norwegian operator’s first deepwater drilling project in US waters in 5 years. Transocean reported a long list of reasons why the deepwater drilling business is coming back strong.
The complete paper discusses the systematic approach adopted by a service company to achieve the goal of safely abandoning wells offshore southwest Brazil with different completion types using light workover vessels. For the offshore sector, the collapse in oil demand and prices came just as the market was beginning to look up. Now many companies are focused on survival. This article discusses how various market segments, regions, and companies are faring in “the new reality.” This paper presents a fatigue-prediction methodology designed to extend the life of unbonded flexible risers and improve the accuracy of floating production, storage, and offloading vessel response analysis.
Of all the programs that SPE offers, the most rewarding and enjoyable ones for me personally are the conferences. I love walking the floor of an exhibition hall, discovering the latest technology advancements, and listening to the various product demonstrations. From the beginning, SPE has focused on knowledge dissemination in four fundamental areas, which I refer to as the core disciplines: drilling, completions, reservoir (including geosciences), and production operations. No company or organization could have predicted our industry would be facing a viral pandemic, coupled with oil prices at their lowest levels in almost 2 decades. This is a time to put our heads together and come up with a new plan. This is what oil and gas does best.
The complete paper describes an operator’s experience in confirming glass fiber-reinforced epoxy (GRE) as an effective alternative to high-grade corrosion-resistant alloys (CRA) to extend tubing life in high-velocity gas wells. This paper presents novel approaches to carbon abatement using petroleum that have a strong chance to succeed in fulfilling technological and economic goals. The complete paper describes an advanced Rankine cycle process-based system that converts waste heat into usable electrical power to improve the efficiency of gas-compression stations on gas-production platforms and pipelines. Carbon dioxide (CO2) waterless fracturing uses liquid CO2 to replace water as the fracturing fluid in reservoir stimulation. The continuity and reliability of the blender are key factors determining performance of the operation. The complete paper discusses the use of cumulative production ratio curves normalized to a given reference volume in time for different unconventional plays in North America to investigate the median trend for each play and the median ultimate recovery per play. 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. An opportunity now exists to further develop the way we solve problems by adopting agile work flows. Originating from software development in 2001, agile work flows will be a key part of driving the oil and gas industry to its next level of efficiency. What the industry needs at this stage is a willingness to work together, share best practices, conduct innovative research, and focus on disruptive technologies that lower cost of capture and make our operations more sustainable.