Background As the amount of medical data in the electronic medical records system (EMR) is increasing tremendously, the required time to read it by health providers is growing by the exact proportionality. This means that physicians must increase the time spared for each patient again by the precise proportionality. This may lead to exposing the accuracy and quality of the course of action to be taken for the patients. Increasing the physician’s required time for one patient means that the physician can see fewer patients. This will create an issue with the medical management authority as more physicians are needed, and higher expenses will be required. Purpose The two questions that arise here are 1. Identify the potential opportunities and challenges for extensive data analysis in the healthcare sector. 2. Evaluate different ways in which big medical data can be analyzed? Methods The authors identified the four concerned parties representing the four potential solutions dimensions to answer these two questions. These parties are 1. physicians, 2. health information systems management (HISM) departments, mainly the EMR system, and 3. Health management departments 4. Relevant Health Information Systems (HIS) parties. A literature review and 25 interviews were conducted. The interviews covered 1: Two global organizations: John Hopkins and Joint Commission International (JCI), 2: Three United Arab Emirates-based health organizations: Department of health in Abu Dhabi, SEHA in Abu Dhabi, Dubai health Authority (DHA) in Dubai, 3: 10 Physicians from different specialties, 4: Five EMR managers and 5: Five IT (Information Technology) professionals representing the HIS parties. Qualitative analysis is used as the approach for data analysis. Results Identifying the managerial and the technical recommendations to be utilized mainly based on digital disruption technologies, tools, and processes. Conclusion Healthcare has been slow in embracing digital disruption and transformation. In most areas, it is still in the initial stages. Recommendations are based on the UAE cases, highlighting the specific technologies and their features.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractLaminated shaly sand sequences are often overlooked when determining pay intervals in clastic reservoirs. This is because traditional methods of calculating hydrocarbon saturations in these formations use resistivity measurements and one of the numerous shaly-sand saturation equations. These techniques generally understimate the hydrocarbon content because conventional resistivity measurements are dominated by the conductive component of the formation, in this case shale. Even when the excess conductivity due to the shale is accurately accounted for in the calculation, there is still a high degree of uncertainty in the results.Laminated sequences such as these are commonly found in the Burgan Formation in the Raudhatain and Sabiriyah Fields in North Kuwait. They have traditionally been considered as non-pay and the hydrocarbon content of marginally shaly formations has generally been underestimated.Recent work re-evaluating wireline log measurements in these fields, taking the shaly formations into account, has significantly increased the volume of hydrocarbons in place. However, there remained a high degree of uncertainty in the results. These new estimates can now be confirmed, and the uncertainty removed, by the combined use of vertical and horizontal resistivity measurements. The measurements, made using a multi-component induction logging tool, measure the electrical anisotropy of the formation, and as such can give a greatly improved measure of the conductivity of the thin sand layers within the laminated sequences. Additionally, these measurements can be used to determine whether the shaly sand is a laterally extensive laminated formation or a disturbed non-reservoir quality rock. This paper will review the technology used to acquire the measurements, show examples from the wells logged in North Kuwait, and describe the impact on reserves estimates. The paper also highlights a successful case of active interaction between KOC Field Development and Research & Technology Groups and Baker Atlas as a service company.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractLaminated shaly sand sequences are often overlooked when determining pay intervals in clastic reservoirs. This is because traditional methods of calculating hydrocarbon saturations in these formations use resistivity measurements and one of the numerous shaly-sand saturation equations. These techniques generally understimate the hydrocarbon content because conventional resistivity measurements are dominated by the conductive component of the formation, in this case shale. Even when the excess conductivity due to the shale is accurately accounted for in the calculation, there is still a high degree of uncertainty in the results.Laminated sequences such as these are commonly found in the Burgan Formation in the Raudhatain and Sabiriyah Fields in North Kuwait. They have traditionally been considered as non-pay and the hydrocarbon content of marginally shaly formations has generally been underestimated.Recent work re-evaluating wireline log measurements in these fields, taking the shaly formations into account, has significantly increased the volume of hydrocarbons in place. However, there remained a high degree of uncertainty in the results. These new estimates can now be confirmed, and the uncertainty removed, by the combined use of vertical and horizontal resistivity measurements. The measurements, made using a multi-component induction logging tool, measure the electrical anisotropy of the formation, and as such can give a greatly improved measure of the conductivity of the thin sand layers within the laminated sequences. Additionally, these measurements can be used to determine whether the shaly sand is a laterally extensive laminated formation or a disturbed non-reservoir quality rock. This paper will review the technology used to acquire the measurements, show examples from the wells logged in North Kuwait, and describe the impact on reserves estimates. The paper also highlights a successful case of active interaction between KOC Field Development and Research & Technology Groups and Baker Atlas as a service company.

No abstract