Session Managers: Reza Fassihi and Bimal Parekh
Material balance, analytical and decline-curve models are the tools of choice for many applications, including reserves booking because of their supposed consistency, simplicity and ease of use for certain applications. In addition, these tools complement the numerical modeling efforts for purposes like reservoir management and field development planning.
Other approaches, such as data mining, have also gained traction in creating models in data-rich environments. Thus, probabilistic approaches have been accepted as the model of choice for certain applications. In this session, we will address what lies ahead in terms of the future applicability of currently popular tools. In particular, we will explore the following:
Session Managers: Basak Kurtoglu and Dilhan Ilk
Increased ability to produce from complex conventional reservoirs and tight/ultra-tight unconventional resources poses significant challenges to the analysis, modeling and forecasting of well/reservoir behavior. Conventional analytical methods still form the backbone of our core tools. Although these methods are straightforward and easy to use, their limitations are obvious with increasing complexity in well geometry and reservoir description. The primary objective of this session is to facilitate discussion centered on the possible shortcomings of the present techniques and to lay the groundwork for achieving best practices to analyze and model well/reservoir behavior in the future. Further, the sufficiency of available data and data quality in the application of current techniques will be discussed to deliver a general understanding of the critical data needs for future methodologies.
Session Managers: Mohamed Soliman and Chih Chen
Various analytical models have been developed to study conventional reservoirs successfully over the years. With some modifications, these analytical models are extended to cover some of the nonlinear behaviors, such as gas flow, non-Darcy effect and reservoir compaction in unconventional reservoirs. Several issues merit serious attention:
This session will address all these issues to explore the novel techniques in developing future tools for modeling primary recovery in various types of unconventional systems.
Session Managers: Harun Ates and Sheldon Gorell
The emphasis of this session will be on novel solutions and emerging tools to analyze the performance of reservoirs under waterflood, with a focus on exploring the following items:
Session Managers: Dave Merchant and Reza Fassihi
Tertiary recovery processes may encompass CO2 injection, polymers, surfactants and other technologies. For the past 40 years, CO2 injection has been the most utilized tertiary technology for enhanced oil recovery (EOR). It has evolved from a partially understood process to a process based on proven technology and experience. In the 21st century, CO2 from anthropogenic sources may enable global expansion of this technology into basins that contain oil fields with EOR potential but lacked a CO2 source to make the tertiary recovery process economically attractive. This session will discuss the capability for new, fast tools to predict and manage the complex physics of tertiary recovery.
Session Managers: Li Fan and Jackson Bi
Unconventional reservoir development has ushered new challenges to predict oil and gas recovery. Conventional pressure buildup data are unavailable, and the geometries and conductivities of multiple, complex hydraulic fractures are not predicted accurately enough for performance predictions. In shale reservoirs, complex physics of gas desorption and of oil flow from matrix into fractures is not understood to the extent that they can be replicated by current numerical models. The session will explore the current use of pragmatic modeling tools for unconventional reservoir exploration and development to establish production drivers, well performance measure such as initial production rate (IP), decline rate, and estimated ultimate recovery (EUR). The session will also examine challenges facing the industry today:
Session Managers: Eduardo Gildin and Benoit Couet
New technologies that rapidly and accurately simulate various and more sophisticated recovery processes are needed in our industry. Artificial intelligence, data mining, proxy and model reduction methods are being used to overcome some of our challenges. However, many questions still remain in developing surrogate models and data mining techniques. Indeed, the lack of historical applications using these techniques prevents us from determining their efficiency. In this session, we will discuss the path to the future applications of surrogate and data mining techniques and some of the daunting open questions:
Session Managers: Sanjay Srinivasan and Scott Meddaugh
At present, there are a variety of reservoir modeling approaches, workflows and tools. Many are specific to the type of study performed or to the recovery mechanism. Some are even currently specific to a particular data type or reservoir. This session will focus on the future of hybrid techniques, specifically for tertiary recovery applications and for integrated reservoir modeling. Topics to be addressed in this session include:
Session Managers: Shah Kabir and Stan Cullick
This session synthesizes nuggets from preceding sessions. In particular, we will explore how reservoir modeling for hydrocarbon exploitation can be used more efficiently in the future than practiced today. We will review the obstacles, challenges, and above all, explore ways to make a business case for the use of fit-for-purpose reservoir modeling tool in assets of various economic environments