The strategy supports the Maximise Economic Recovery from UK Oil & Gas Strategy and Vision 2035, whose goal is to achieve £140 billion additional gross revenue from UKCS production by that time. Visuray is using its unique X-ray technology to improve downhole imaging. A company is selling a new well testing tool designed to be a cheaper, simpler way to do fiber optic sensing, and then it fades away. BP has seen enormous payoff from a program to intervene in underperforming subsea wells in the Gulf of Mexico. A coiled-tubing selective perforating and activation system that transmits critical downhole data and measurements in real time is enabling well interventions that previously could not have been executed.
The explorer has so far encountered 400 ft of reservoir pay zone in an area where it has three other producing fields. Murphy Oil to Buy Deepwater US Gulf Assets for up to $1.625 Billion The El Dorado, Arkansas-based Murphy has quickly found a home for some of the cash it will receive from the sale of its Malaysia business. The company has been rapidly expanding its US gulf footprint while simplifying its portfolio and targeting more oil. Petrobras and Shell have brought online the Lula field’s seventh FPSO as the firms continue to ramp up production from the pre-salt Santos Basin. The French major is racking up barrels of deepwater production as part of its large-scale West African push.
Killen, N. (Chevron USA Inc.) | House, R. (Chevron USA Inc.) | Sankur, V. (Chevron USA Inc.) | Thigpen, B. (Chevron USA Inc.) | Chelmis, C. (University of Southern California) | Prasanna, V. K. (University of Southern California) | Neumann, U. (University of Southern California) | Raghavendra, R. (University of Southern California) | Yao, K. (University of Southern California) | You, S. (University of Southern California) | Ershaghi, I. (University of Southern California)
We present an integrated system that automatically collects historical and current data from heterogeneous sources, performs analytics to identify telltale signatures of Loss of Containment (LOC) events, and makes asset behavior predictions as an asset ages. Our semantically enhanced system of record stores and manages heterogeneous data introduced by a variety of collection mechanisms and frequencies, and also captures subject matter knowledge and experience to automate LOC prevention decision making. Analytics provide a "learning by example" platform; LOC patterns can be quickly identified even in new facilities by utilizing other facilities LOC facts. Machine learning techniques coupled with rule-based systems and advanced visualization environments can not only determine an asset's health, but also minimize labor intensive and error prone data comprehension and decision-making.
The subsea industry has dramatically flourished over the past two decades and is expected to continue its impressive growth in the next 20 years, especially in deepwater areas. One of the consequences of this undeniable success is that, in the future, operators will have to manage an increasingly greater number of ageing Subsea Production Systems (SPS's) across the world. This is due to the extended field life for offshore developments made possible by the enhanced reliability of subsea hardware and controls, and to the understandable desire of the operators to continue producing from subsea wells beyond the original design life of the SPS components. This paper presents some of the technical challenges encountered by the Authors while carrying out offshore brownfield work for different operators, discusses the most valuable lessons learned that can be incorporated in the design of future and long-lived SPS's, and investigates the existing opportunities provided by the continuous evolution of subsea technologies to better develop offshore oil and gas fields. In the light of their working experience, the Authors believe that a truly integrated, multidiscipline approach to offshore field development is a key factor for both greenfield and brownfield projects and that new SPS's should be designed, at system level, for service lives significantly longer than the ones currently specified (i.e. the design life of individual SPS components).
Projects in the global deepwater environment are increasingly complex, costly and often face significant schedule pressures to reach both a "commitment to develop" decision and "first oil/gas milestone". Typical industry deepwater project costs ranges from USD$1 billion for a small scale subsea tieback to upward of USD$10 billion for a custom design standalone hub class development. Therefore ensuring that the appraisal campaign addresses the data acquisition required to reduce both key subsurface, and key development uncertainties as well as enable a robust development decision is critical. The appraisal phase of the project (post discovery) is the most important early phase in the development cycle which sets the stage for the remainder of the concept selection, detailed design, execution and production phases of the development. This paper explores and discusses, with the use of relevant examples, the key aspects of appraisal planning and execution specifically related to reducing uncertainties and determining the ultimate development scope for deepwater oil and gas development projects. The paper does not attempt to expand on building understanding or managing the nontechnical aspects of early phase deepwater project management which can have an equally significant role in shaping the ultimate deepwater development project.
This paper is focused on how technology can significantly accelerate and improve operations, enable petro-technical and business decisions and workflows, and improve real-time access to information and experts. This approach is fundamental to how Chevron is evolving the managment of its upstream businesses. Examples are included to demonstrate how improving work flows and enabling them with technology relies on innovation and integration of people and processes. We'll also show how information can help to create pragmatic solutions that quickly allow us to realize value. By improving performance, increasing efficiency, and streamlining decision making, critical resources can recapture the time and capacity required to help us innovate into the future. As part of the Data Visualization, we'll discuss the petrotechnical integration framework for data visualization, surveillance, analysis, and reporting. We'll show how a web-based workflow petrotechnical portal can provide data access and visualization. This portal is a map-based GIS tool that connects high-value data from our petrotechnical systems of record and exposes it to facilitate decision-making. The context for the web-based tool and its role are shown in the program-level macro workflow. We'll discuss how this technology is enabling faster and broader access to data that currently exists in silos, and how it will afford high-quality analysis.
Thacher, C. (Chevron Energy Technology Company) | Stefani, J. (Chevron Energy Technology Company) | Wu, C. (Chevron Energy Technology Company) | Nihei, K. (Chevron Energy Technology Company) | Sydora, L. (Chevron Energy Technology Company) | Chou, T. (Chevron Energy Technology Company) | Zhang, L. (Chevron Energy Technology Company) | Bevc, D. (Chevron Energy Technology Company) | Regel, B. (Chevron North America Exploration & Production Company) | Clark, E. (Chevron North America Exploration & Production Company)
Subsalt reservoirs are usually not considered candidates for 4D seismic monitoring. The argument has been “If I can’t image the reservoir with seismic, how can I hope to see production effects with seismic?” While 4D is a proven industry technology for reservoir monitoring of water floods, its use in the subsalt environment is less prolific.
As a cost effective feasibility test of 4D in subsalt reservoirs, we create a 2D visco-elastic anisotropic earth model of the Gulf of Mexico Tahiti field. The model is constructed from water bottom to basement using rock properties derived from well logs, cores and general Gulf of Mexico trends. Using the Tahiti reservoir prediction simulation model, we also create a time-lapse version of this same 2D model. We then use rock physics relations to transform the earth/reservoir properties (porosity, water saturation, pore pressure) into elastic properties (Vp, Vs, density). Rooting the model in reservoir properties and rock physics helps ensure an internally consistent set of elastic parameters. We then create 2D synthetic data that are representative of both static and dynamic earth properties. Ultimately, we process these raw synthetic data in a 4D workflow that includes data conditioning, blind velocity analysis, depth migration, and 4D seismic imaging. The Tahiti 2D/4D models reveal that production effects in these subsalt reservoirs are detected on 4D seismic data. We describe the model building workflow, the products of velocity analysis, and the resulting 4D synthetic seismic images.
Mullins, Oliver C. (Schlumberger) | Zuo, Julian Y. (Schlumberger) | Andrew, A. Ballard (Schlumberger) | Pfeiffer, Thomas (Schlumberger) | Andrew, E. Pomerantz (Schlumberger) | Dong, Chengli (Shell Exploration and Production Inc) | Elshahawi, Hani (Shell Exploration and Production Inc) | Cribbs, Myrt E. (Chevron North America)
Copyright 2012, held jointly by the Society of Petrophysicists and Well Log Analysts (SPWLA) and the submitting authors This paper was prepared for presentation at the SPWLA 53rd Annual Logging Symposium held in Cartagena, Colombia, June 16-20, 2012. ABSTRACT In recent years, several major advances have taken place in asphaltene science and have been codified in the Yen-Mullins Model. Specifically, these advances embody the characterization of the nanocolloidal structure of asphaltenes in crude oil. They also are applicable to surface science at the molecular level and provide a foundation for understanding wettability. This nanoscience also establishes the foundation for the'gravity term' enabling the development of the industry's first predictive equation of state of asphaltene gradients in the Flory-Huggins-Zuo (FHZ) equation of state. The FHZ equation coupled with downhole fluid analysis (DFA) data has been used to address major reservoir concerns including reservoir connectivity, heavy oil columns, tar mats, and reservoir fluid disequilibrium in many case studies. This paper provides an overview of the developments in asphaltene science, surface science and the development of the FHZ EoS. We review the many classes of case studies linking the FHZ EoS with DFA, with emphasis on the corresponding significant improvement of capability in each focus of study. The coupling of new science and new technology is shown to yield tremendous improvements in reservoir characterization. In stark contrast, asphaltenes have been the subject of enormous debate; even molecular weight was disputed by a factor of one million! The cost of this scientific deficiency on all aspects of the oil industry has been severe.