--> Abstract: Optimizing our Methodologies for Assessing Probabilistic OOIP and Recovery Analysis for a New Discovery: Lianzi Field, Angola/Republic of Congo, by Masroor Chaudhri and Kathleen Mabe; #90072 (2007)

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Optimizing our Methodologies for Assessing Probabilistic OOIP and Recovery Analysis for a New Discovery: Lianzi Field, Angola/Republic of Congo

Masroor Chaudhri1 and Kathleen Mabe2
1Chevron, Houston, TX
2SASBU Blk 14 NFD, Houston, TX

The Lianzi hydrocarbon accumulation is located in a crestal position on a salt cored anticline, known as the 14K or A-IMI structure on the border of Angola Block 14 and Republic of Congo. The primary accumulation, the CN3-F1B, was penetrated by the Lianzi-1 and Lianzi-2 Side Track 1 (ST1) wellbores. Chevron is the operator along with participants; Total, CABCOG, SNPC, SONANGOL, ENI and GALP.
The Lianzi-1 discovery well was drilled in 2004 and encountered hydrocarbons in the Miocene CN3-F1B and F2A Channels. Lianzi-2 was drilled in 2005 to test a structural high in the F1 Channel and to delineate the F1B oil accumulation. The Lianzi-2ST1 appraised the Miocene CN3-F1B sand and has been suspended as a capable producing well.
Design of Experiment is an efficient procedure for planning experiments so that the data obtained can be analyzed to yield valid conclusions while economically maximizing information to develop mitigation plans to reduce the risks associated with deepwater development. Static DoE is used to evaluate the effect of net-to-gross, porosity, oil water contact and initial water saturation on the oil in place (OIP) while dynamic DoE is used to assess the effect of permeability, vertical and areal connectivity, relative permeability etc. on the oil recovery. Combining static and dynamic DoE can lead to generating large number of geological models.
We illustrate the efficient use of DoE in assessing the static and dynamic uncertainties, and provide recommendations for efficient use of DoE for predicting probabilistic OOIP, recoveries, and reduce cycle time to perform uncertainty analysis.

 

AAPG Search and Discovery Article #90072 © 2007 AAPG and AAPG European Region Conference, Athens, Greece