Abstract: The S reservoir located in the west coast of Africa is characterized by complex blocks and its local block has an
abnormal high pressure. There is the need to optimize the reservoir’s exploitation program rationally. Based on S reservoir
geological features and the test data analysis system of the existed 10 test wells and producing test wells of 23 wells，using sequence
stratigraphy，well test analysis of the boundary detection，capacity evaluation and other reservoir engineering methods，
we evaluated the exploitation policy limits of the pressure systems，crude oil properties，test production，per meter productivity
index，the oil intensity of production and other design technologies of the S reservoir’s P1，P2，P3 group of its three oil-bearing
strata. We concluded that P1 group is a set of normal pressure system，ordinary black oil-based，20 t or so for the test conversion
daily oil production capacity，a flexible hydraulic drive reservoir of higher per meter productivity index. P2，P3 group
are sets of abnormally high pressure system，light volatile oil-based，4050 t or so for test converted oil production capacity，
natural energy-drive reservoir of higher per meter productivity index. With S reservoir’s geological conditions，the integrated
application of the controlling reserves of economic limit of single well，the density of the economic limit of wells and other calculation
methods to determine S reservoir’s rational well spacing and density of well pattern. Applicing oil reservoir modeling
and numerical simulation of complex fault-block，we optimized the exploitation programs of P1 reservoir of water flooding，
and P2 and P3 reservoir of natural energy interval drive，and proposed the best exploitation program for the deployment of 14
vertical wells，3 horizontal wells. The accumulated oil production will have reached 93.48104 t after 15 years according to
this program，recovery percent will have reached 22.53%，8.19% and 12.95% respectively.

Key words: complex fault block oil reservoir, well test analysis, productivity evaluation, exploitation programs optimization, exploitation indicators forecast