Indonesia Conference Directory

Corresponding Author
Agung Arief Wijaya

Institutions
a) PT. Pertamina Hulu Energi Offshore Northwest Java
PHE Tower, 8th Floor, Jl. T.B. Simatupang Kav. 99, Jakarta, 12520

Abstract
Pertamina Hulu Energi Offshore North West Java (PHE ONWJ) field has been producing oil and gas since 1979. The producing wells produce the formation of water at the average of 78%. Due to the decreasing of production rates, Pertamina Hulu Energi Offshore North West Java (PHE ONWJ) is required to search and find new additional reserves to unlocking Hydrocarbon in Reservoir Rock which can be produced faster, integrity of the wells can be maintained, and without Workover. There are several case histories where the depth of the potential zones is above the first packer. If those zones are directly produced by performed the perforation thru Tubing, The integrity of the wells will not be well maintained, as there is no double barrier in the annulus between the Tubing and the Casing. To maintain the integrity of the wells prior perforation, one barrier must be added to the inside of the annulus above the potential zone to be produced. Cement Packer technology itself is one of cementing techniques in which to put cement from inside the tubing through the annulus between the tubing and the casing using Coiled Tubing, where previously, communication has been made between the tubing and the casing to replace the function of packer to maintain the integrity of the wells. This paper will outline the method for cement packer technology, comparison with another technique and case history of cement packer technology in Offshore Northwest Java, started from the preparation phase to the operation phase. The safety aspect and treatment result for each wells will also be discussed in details.

Keywords
cement, packer, integrity,

Topic
Petroleum and Geology

Link: https://ifory.id/abstract/uQHepRA3aKxv

Corresponding Author
Adi Prakoso

Institutions
Reservoir Geophysics Graduate Program, Physics Dept., FMIPA, Universitas Indonesia

Abstract
Hydrocarbon exploration requires comprehensive understanding of geological and geophysical properties of subsurface reservoir. Therefore, subsurface rock properties determination, which include total and effective porosity, clay content, and water saturation, is a very important, particularly for reservoir target. In term of spatial coverage, subsurface rock properties is then distributed by using seismic multiattribute, which is performed in two approaches – linear multivariate regression and probabilistic neural network (PNN). Linear multivariate regression seismic multiattribute assumes that the relation of seismic attributes and reservoir property is linear, while probabilistic neural network, seismic multiattribute assumes non-linear relationship. This research employed linear multivariate regression using internal attribute of seismic data to predict several rock properties. Transformation of seismic internal attribute to rock properties was attained by a series of weights derived by least-squares minimization. To estimate the reliability of the derived multiattribute transform, cross validation is used where each well is systematically removed from the training set, and the transform is rederived from the remaining wells. The prediction error for the hidden well is then calculated. The validation error, which is the average error for all hidden wells, is used as a measure of the likely prediction error when the transform is applied to the seismic volume. This method was applied to Globigerina Limestone reservoir in Madura Strait that resulted in good prediction of reservoir properties. Result of this research is used for quantification of remaining lead and prospect in the field area. Furthermore, the predicted subsurface rock properties is used as input to optimalize in developing well in the proven fields.

Keywords
geophysics, seismic, multiattribute, rock properties

Topic
Petroleum and Geology

Link: https://ifory.id/abstract/V9exyWYq6BPE